CN115115292B - Generation distribution information generation method, apparatus, apparatus, medium and program product - Google Patents

Abstract

Embodiments of the present disclosure disclose power generation allocation information generation methods, apparatuses, devices, media, and program products. A specific implementation of the method includes: acquiring a historical power information set, a first distributed power generation information set and a second distributed power generation information set; performing verification processing on the first distributed power generation information set to obtain first review information; The distribution power generation information set is verified and processed to obtain the second review information; based on the historical power information set, the target historical power generation time series and the target historical power consumption time series are generated; the first target distribution power generation is generated; The time series and the target historical power consumption time series are respectively input into the preset second power generation generation model to obtain the target distribution power generation time series and the target distribution power consumption time series; the second target distribution power generation and supply and demand matching information are generated; Generate power generation allocation information. This embodiment can improve the accuracy of power generation distribution information.

Description

Generation distribution information generation method, device, equipment, medium and program product

technical field

The embodiments of the present disclosure relate to the field of computer technology, and in particular to methods, devices, equipment, media and program products for generating power distribution information.

Background technique

The generation method of generation allocation information is a technique for making a generation plan. At present, when generating generation distribution information, the usual method is: according to the economic growth rate to be achieved, a single generation generation algorithm is used to generate generation distribution information.

However, the inventors found that when the generation distribution information is generated in the above manner, the following technical problems often exist:

First, relying on a single power generation generation algorithm can easily lead to "overfitting" or "underfitting" of the generated power generation results, resulting in low accuracy of power generation allocation information;

Second, when generating power generation allocation information, it is often easy to ignore the constraint relationship between power consumption and power generation, resulting in low accuracy of power generation allocation information, which in turn leads to overcapacity or undercapacity;

Third, when carrying out power generation work according to the above-mentioned power generation distribution information, qualitative methods are often used to determine the number of human resources required for power generation work, and there is a lack of more accurate quantitative data to support it. lack of resources.

The above information disclosed in this Background section is only for enhancement of understanding of the background of the inventive concept and therefore it may contain information that does not form the prior art that is already known in this country to a person of ordinary skill in the art.

Contents of the invention

The Summary of the Disclosure is provided to introduce concepts in a simplified form that are described in detail in the Detailed Description that follows. The content of this disclosure is not intended to identify the key features or essential features of the claimed technical solution, nor is it intended to be used to limit the scope of the claimed technical solution.

Some embodiments of the present disclosure propose a method, device, device, medium and program product for generating generation allocation information to solve one or more of the technical problems mentioned in the background art section above.

In the first aspect, some embodiments of the present disclosure provide a method for generating power generation allocation information, the method including: acquiring a historical power information set, a first allocated power generation information set, and a second allocated power generation information set; Perform verification processing on the information set to obtain first re-verification information; in response to determining that the first re-verification information satisfies the first preset re-verification condition, perform verification processing on the second distribution power generation information set to obtain second re-verification information; in response It is determined that the above-mentioned second review information satisfies the second preset review condition, and based on the above-mentioned historical power information set, a time series of target historical power generation and a time series of target historical power consumption are generated; based on the above-mentioned time series of target historical power generation and the preset first A power generation generation model to generate the first target distribution power generation; input the above-mentioned target historical power generation time series and the above-mentioned target historical power consumption time series into the preset second power generation generation model respectively, and obtain the target distribution power generation time series and target distribution power consumption time series; based on the above target distribution power generation time series and the above target distribution power consumption time series, generate a second target distribution power generation and supply and demand matching information; in response to determining that the above supply and demand matching information meets the preset supply and demand The matching condition is to generate power generation distribution information based on the first distributed power generation information set, the second distributed power generation information set, the first target distributed power generation amount, and the second target distributed power generation amount.

In a second aspect, some embodiments of the present disclosure provide a power generation distribution information generating device, the device comprising: an acquisition unit configured to acquire a historical power information set, a first allocated power generation information set, and a second allocated power generation information set; A verification unit configured to perform verification processing on the first distributed power generation information set to obtain first review information; a second verification unit configured to respond to determining that the first review information satisfies the first preset review The condition is to perform verification processing on the second distribution power generation information set to obtain second review information; the first generation unit is configured to respond to determining that the second review information satisfies a second preset review condition, based on the historical power information set to generate the target historical power generation time series and the target historical power consumption time series; the second generation unit is configured to generate the first target distribution based on the above target historical power generation time series and the preset first power generation generation model Power generation: an input unit configured to input the above-mentioned target historical power generation time series and the above-mentioned target historical power consumption time series into the preset second power generation generation model respectively, to obtain the target distribution power generation time series and target distribution power consumption amount time series; the third generation unit is configured to generate the second target distribution power generation amount and supply-demand matching information based on the above-mentioned target distribution power generation time series and the above-mentioned target distribution power consumption time series; the fourth generation unit is configured to In response to determining that the supply and demand matching information satisfies a preset supply and demand matching condition, generating a power generation allocation based on the first allocated power generation information set, the second allocated power generation information set, the first target allocated power generation amount, and the second target allocated power generation amount information.

In a third aspect, some embodiments of the present disclosure provide an electronic device, including: one or more processors; The processor executes, so that one or more processors implement the method described in any implementation manner of the first aspect above.

In a fourth aspect, some embodiments of the present disclosure provide a computer-readable medium on which a computer program is stored, wherein when the program is executed by a processor, the method described in any implementation manner of the above-mentioned first aspect is implemented.

In a fifth aspect, some embodiments of the present disclosure provide a computer program product, including a computer program. When the computer program is executed by a processor, the method described in any implementation manner of the above-mentioned first aspect is implemented.

The above-mentioned embodiments of the present disclosure have the following beneficial effects: the accuracy of the power generation distribution information can be improved through the generating method of the power generation distribution information in some embodiments of the present disclosure. Specifically, the reason for the low accuracy of power generation allocation information is that relying only on a single power generation generation algorithm often easily leads to "overfitting" or "underfitting" of the generated power generation results. Information accuracy is low. Based on this, in some embodiments of the present disclosure, in the generating method of power generation distribution information, firstly, a set of historical power information, a first set of distributed power generation information, and a second set of distributed power generation information are acquired. In this way, it is convenient to subsequently correct the distributed power generation in the preset area through the distributed power generation in each province. Wherein, the above-mentioned preset area corresponds to each of the above-mentioned provinces. Secondly, a verification process is performed on the above-mentioned first distributed power generation information set to obtain first review information. In response to determining that the first review information satisfies the first preset review condition, a verification process is performed on the second distributed power generation information set to obtain second review information. In response to determining that the second review information satisfies the second preset review condition, a time series of target historical power generation and a time series of target historical power consumption are generated based on the above historical power information set. Therefore, the accuracy of the data source can be ensured by checking the first distributed power generation information set and the second distributed power generation information set. Therefore, accurate target historical power generation time series and target historical power consumption time series can be generated, which is convenient for obtaining planned power generation through different power generation generation models in order to generate power generation allocation information. Then, based on the time series of target historical power generation and the preset first power generation generation model, the first target distributed power generation is generated. In this way, the first target allocated power generation in the preset area affected by the economic growth rate can be obtained through the preset first power generation generation model, which facilitates subsequent mutual correction with the preset second power generation generation model. Afterwards, the time series of target historical power generation and the time series of target historical power consumption are respectively input into the preset second power generation model to obtain the time series of target distributed power generation and target distributed power consumption. Based on the time series of target allocated power generation and the time series of target allocated power consumption, the second target allocated power generation and supply-demand matching information are generated. In this way, the second target allocated power generation that has the same trend as the historical year power generation can be obtained through the preset second power generation generation model, which facilitates subsequent correction of deviations from the above-mentioned first target allocated power generation. Finally, in response to determining that the supply-demand matching information satisfies the preset supply-demand matching condition, based on the first distributed power generation information set, the second distributed power generation information set, the first target distributed power generation, and the second target distributed power generation, generate Generation allocation information. In this way, the distributed power generation of each province can be used to correct the distribution of power generation in the preset area, and the distribution of power generated by the above two power generation models can be mutually corrected, so that the power generation distribution information can be improved. accuracy. Therefore, some power generation allocation information generation methods disclosed in the present disclosure comprehensively consider the economic growth rate and the natural growth trend of the power generation itself over the years, and use two different types of power generation models to generate distributed power generation to correct each other. The generated power generation results are "over-fitting" or "under-fitting", so that the accuracy of power generation allocation information can be improved.

Description of drawings

The above and other features, advantages and aspects of the various embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic and elements and elements have not necessarily been drawn to scale.

FIG. 1 is a flowchart of some embodiments of a method for generating generation allocation information according to the present disclosure;

Fig. 2 is a schematic structural diagram of some embodiments of an apparatus for generating generation allocation information according to the present disclosure;

FIG. 3 is a schematic structural diagram of an electronic device suitable for implementing some embodiments of the present disclosure.

Detailed ways

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the disclosure are shown in the drawings, it should be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these examples are provided so that the understanding of this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for exemplary purposes only, and are not intended to limit the protection scope of the present disclosure.

It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings. In the case of no conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other.

It should be noted that concepts such as "first" and "second" mentioned in this disclosure are only used to distinguish different devices, modules or units, and are not used to limit the sequence of functions performed by these devices, modules or units or interdependence.

It should be noted that the modifications of "one" and "multiple" mentioned in the present disclosure are illustrative and not restrictive, and those skilled in the art should understand that unless the context clearly indicates otherwise, it should be understood as "one or more" multiple".

The names of messages or information exchanged between multiple devices in the embodiments of the present disclosure are used for illustrative purposes only, and are not used to limit the scope of these messages or information.

The present disclosure will be described in detail below with reference to the accompanying drawings and embodiments.

Fig. 1 shows a flow 100 of some embodiments of a method for generating generation allocation information according to the present disclosure. The method for generating distribution information includes the following steps:

Step 101, acquiring a historical power information set, a first allocated power generation information set, and a second allocated power generation information set.

In some embodiments, the execution subject (such as a computing device) of the generation method for generating allocation information may obtain the historical power information set, the first allocated power generation information set, and the second allocated power generation information set through a wired connection or a wireless connection. Wherein, the historical electric power information in the above historical electric power information set may be the information about the power generation and power consumption in each month of the corresponding province in the historical year sent by the server through Ethernet. The above historical years may be used to represent at least one past year. The first distributed power generation information in the first distributed power generation information set may be the information on the amount of power generation to be distributed sent by the server through Ethernet. The above information on the amount of electricity to be distributed may be information on the total amount of electricity to be produced by the corresponding province in a preset year. The aforementioned preset year may be a certain year in the future. For example, the aforementioned preset year may be the second year. The first distributed power generation information in the above-mentioned first distributed power generation information set may include but not limited to at least one of the following: a first territory identifier, and a first territory distributed power generation amount. The above-mentioned first territory identifier can uniquely identify a province. The above-mentioned first assigned power generation amount may be a power generation amount output by a preset first power generation amount generation model. The above preset first power generation model can be input with the growth rate value of the gross national product in the preset year, each annual power generation in the historical years and each gross national product, and the annual power generation in the preset year is The output power generation model. The above-mentioned annual power generation may be a year's power generation. The second distributed power generation information in the above-mentioned second distributed power generation information set may be the total electricity to be produced by the corresponding province in a preset year. The second distributed power generation information in the above-mentioned second distributed power generation information set may include, but not limited to, at least one of the following: the identifier of the second territory, and the distributed power generation amount of the second territory. The above-mentioned second territorial identifier can uniquely identify a province. The above-mentioned second distributed power generation amount may be the power generation amount obtained by outputting from a preset second power generation amount generation model. The above-mentioned second preset power generation model may be a power generation model that takes a time series of monthly power generation of each month in a historical year as an input and outputs the monthly power generation of each month in a preset year. The above-mentioned monthly power generation amount may be a monthly power generation amount.

As an example, the above-mentioned preset first power generation generation model may be a power elasticity coefficient model. The above-mentioned preset second power generation generation model may be a seasonal differential autoregressive sliding average model.

Optionally, before obtaining the historical power information set, the first allocated power generation information set, and the second allocated power generation information set, the above execution subject may also perform the following steps:

Based on the preset attribute information set, a node information set is generated for deploying each server. Wherein, each node information in the above-mentioned node information set includes historical power information, first allocated power generation information, second allocated power generation information and local growth rate value. The above-mentioned historical power information may include a time series of monthly power generation and a time series of monthly electricity consumption. The location information in the above-mentioned preset location information set may include an initial location identification, initial historical power information, and a location growth rate value. The above-mentioned initial territorial identification can uniquely identify the province. The above-mentioned initial historical power information may be the information of the power generation and power consumption of each month in the historical year of the corresponding province. The aforementioned initial historical power information may include an initial monthly power generation time series and an initial monthly power consumption time series. The above-mentioned initial monthly power generation time series may be a time series in which the power generation capacity of each month in the corresponding province is arranged in chronological order in historical years. The initial monthly electricity consumption in the above initial monthly electricity consumption time series may be a time series in which the monthly electricity consumption of the corresponding province is arranged in chronological order in historical years. The node information in the above node information set may be server information associated with the corresponding province. The growth rate of the above-mentioned territory may be the growth rate of the GNP of the corresponding province in the preset year. The aforementioned growth rate value may be a percentage of the growth rate. The time series of monthly power generation of the above-mentioned territory may be a time series of power generation of each month in the corresponding province in historical years arranged in chronological order. The above time series of monthly power consumption of the territory may be a time series of monthly power consumption of the corresponding provinces in historical years arranged in chronological order. The following steps can be performed for each territory information in the above-mentioned preset territory information set:

The first step is to generate a territory node based on the initial territory identification corresponding to the territory information. Among them, the above-mentioned territorial nodes can be used to represent provinces. The locality node can be generated based on the initial locality identification corresponding to the locality information through the preset distributed architecture.

As an example, the above preset distributed architecture may include but not limited to at least one of the following: Spring Boot distributed architecture, Dubbo distributed architecture, MapReduce programming architecture, and the like.

The second step is to associate and deploy servers matching the above-mentioned local nodes to the above-mentioned local nodes through the above-mentioned preset distributed architecture. Wherein, matching with the above-mentioned territory node may mean that the province corresponding to the server is the same as the province represented by the above-mentioned territory node.

Optionally, the node information corresponding to the above-mentioned property nodes can be generated as follows:

In the first step, the server determines each initial monthly power generation amount in the initial monthly power generation amount time series corresponding to the territorial information as the monthly power generation amount of the territory, and obtains the monthly power generation amount time series of the territory.

In the second step, the above-mentioned server determines each initial monthly electricity consumption in the initial monthly electricity consumption time series corresponding to the above-mentioned territorial information as the monthly electricity consumption of the territory, and obtains the monthly electricity consumption time series of the territory.

In the third step, the above-mentioned server determines the time series of monthly power generation of the above-mentioned territory and the time series of monthly electricity consumption of the above-mentioned territory as historical power information.

In the fourth step, the server may generate the first allocated power generation information based on the time series of initial monthly power generation included in the location information. Specifically, it can be executed as follows:

The first sub-step is to group each initial monthly power generation in the initial monthly power generation time series included in the above-mentioned territorial information according to the corresponding year to obtain the initial monthly power generation group. Wherein, the initial monthly power generation group in the above initial monthly power generation group set may be a set of monthly power generation corresponding to the same year.

The second sub-step, for each initial monthly power generation group in the above initial monthly power generation group set, determine the sum of each initial monthly power generation in the above initial monthly power generation group as the initial annual power generation, and obtain the initial annual power generation set . Wherein, the initial annual power generation in the above initial annual power generation concentration may be the annual power generation in the corresponding year.

The third sub-step is to arrange each initial annual power generation in the above-mentioned initial annual power generation concentration according to the time sequence of the corresponding year, and obtain the initial annual power generation time series. Wherein, the above-mentioned initial annual power generation time series may be an ordered collection of each initial annual power generation corresponding to the same province.

The fourth sub-step is to input the time series of the initial annual power generation, the above-mentioned regional growth rate and the first preset historical GNP time series into the preset first power generation generation model to obtain the first distributed power generation information. Wherein, the above-mentioned first preset historical GNP time series may be an ordered set of the GNP of each year corresponding to the same province arranged in the order of corresponding years.

In the fifth step, the server inputs the time series of initial monthly power generation included in the above-mentioned territory information into the preset second power generation model to obtain the time series of monthly power generation to be allocated. Wherein, the time series of monthly power generation to be allocated may be an ordered set of monthly power generation corresponding to the same province.

In a sixth step, the server determines the sum of the monthly power generation to be allocated in the time series of the monthly power generation to be allocated as the second allocated power generation information.

In the seventh step, the server sends the historical power information, the first distributed power generation information, the second distributed power generation information, and the local growth rate included in the local information to the local node.

The eighth step is to determine the above-mentioned historical power information, the above-mentioned first distributed power generation information, the second distributed power generation information, and the local growth rate value included in the above-mentioned local information as node information.

Step 102, performing verification processing on the first distributed power generation information set to obtain first review information.

In some embodiments, the execution subject may perform verification processing on the first distributed power generation information set to obtain the first review information. Wherein, the above-mentioned first review information may be used to indicate whether the first assigned power generation amount included in each first distributed power generation information in the first distributed power generation information set is correct. The above-mentioned first review information may be information that the first power generation amount is correct or that the first power generation amount is incorrect. The above-mentioned first power generation amount correct information may be used to indicate that the first assigned power generation amount included in each first distributed power generation information in the first distributed power generation information set is correct. The above-mentioned incorrect information about the first power generation amount may be used to indicate that the first assigned power generation amount included in at least one piece of first distributed power generation information in the first distributed power generation information set is wrong. The above-mentioned first distributed power generation information set can be checked and processed to obtain the first review information through the following steps:

The first step is to generate a first historical power generation time series set based on the above historical power information set. Wherein, the first historical power generation time series in the first historical power generation time series set may be a set of annual power generation in each historical year of the corresponding province. For each historical power information in the above historical power information set, the following steps can be performed:

The first sub-step is to group the monthly power generation of each territory in the time series of the monthly power generation of the territory included in the above-mentioned historical power information according to the corresponding year, and obtain the monthly power generation group of the territory. Wherein, the regional monthly power generation groups in the above-mentioned collection of territorial monthly power generation groups may be a set of monthly power generation corresponding to the same year.

The second sub-step is to determine the sum of the monthly power generation of each territory in the above monthly power generation group as the first historical power generation, and obtain the first historical power generation volume set. Wherein, the first historical power generation in the above-mentioned first historical power generation concentration may be the annual power generation of the corresponding year.

The third sub-step is to arrange each first historical power generation amount in the above-mentioned first historical power generation amount set according to the chronological order of the corresponding year, and obtain the time series of the first historical power generation amount. Wherein, the above-mentioned first historical power generation time series may be an ordered set of each first historical power generation corresponding to the same province arranged in the order of corresponding years.

In the second step, for each first historical power generation time series in the above first historical power generation time series set, the following steps are performed:

The first sub-step is to input the preset regional growth rate value corresponding to the above-mentioned first historical power generation time series, the first preset historical GNP time series, and the above-mentioned first historical power generation time series into the preset first A generating capacity generation model is used to obtain a first verified generating capacity. Wherein, corresponding to the first historical power generation time series may be that the first historical power generation time series, the preset territorial growth rate value and the first preset historical GNP time series correspond to the same province. The aforementioned preset territorial growth rate may be the growth rate of the GNP of the corresponding province in the preset year. The first preset historical GNP in the time series of the first preset historical GNP may be the GNP of the corresponding province in different historical years. The above-mentioned first verification power generation amount may be the annual power generation amount of the preset year corresponding to the province.

The second sub-step is to select the first distributed power generation information that matches the time series of the first historical power generation amount from the above-mentioned first distributed power generation information set. Wherein, matching with the above-mentioned first historical power generation time series may be that the province corresponding to the first distributed power generation information is the same as the province corresponding to the above-mentioned first historical power generation time series.

The third sub-step is to determine whether the above-mentioned first verified power generation amount is equal to the first assigned power generation amount included in the selected first distributed power generation information.

The fourth sub-step is to generate a first error-free flag in response to determining that the above-mentioned first verified power generation amount is equal to the first assigned power generation amount included in the selected first distributed power generation information. Wherein, the above-mentioned first error-free identifier may be a number. For example, the above-mentioned first error-free flag may be 1.

The fifth sub-step is to generate a first error flag in response to determining that the first verified power generation amount is not equal to the first distributed power generation amount included in the selected first distributed power generation information. Wherein, the above-mentioned first error identifier may be a number. For example, the above-mentioned first error flag may be 0.

In the third step, the number of generated first error-free marks is determined as the first target error-free value. Wherein, the above-mentioned first target error-free value may be the number of each error-free first assigned power generation amount included in the first distributed power generation information.

Step 4: In response to determining that the first target error-free value satisfies the first preset error-free condition, determine the first power generation error-free information as the first review information. Wherein, the above-mentioned first preset error-free condition may be that the above-mentioned first target error-free value is equal to the number of distributed power generation amounts of each first territory included in the first distributed power generation information.

In the fifth step, in response to determining that the first target error-free value does not satisfy the first preset error-free condition, determine the error information about the first power generation amount as the first review information.

Step 103, in response to determining that the first review information satisfies the first preset review condition, perform a verification process on the second distributed generation information set to obtain second review information.

In some embodiments, the execution subject may, in response to determining that the first review information satisfies the first preset review condition, perform verification processing on the second distribution generation information set to obtain second review information. Wherein, the above-mentioned first preset review condition may be that the above-mentioned first review information is correct information about the first power generation amount. The above-mentioned second review information may be used to indicate whether the second assigned power generation amount included in each second distributed power generation information in the second distributed power generation information set is incorrect. The above-mentioned second review information may be information that the second power generation amount is correct or that the second power generation amount is incorrect. The above-mentioned error-free information on the second power generation amount may be used to indicate that the second-regional distribution power generation amount included in each second distribution power generation information in the second distribution power generation information set is correct. The above-mentioned incorrect information about the second power generation amount may be used to indicate that the second assigned power generation amount included in at least one piece of second distributed power generation information in the second distributed power generation information set is wrong. The above-mentioned second distributed power generation information set can be checked and processed to obtain the second review information through the following steps:

In the first step, for each historical power information in the above-mentioned historical power information set, perform the following steps:

The first sub-step is to input the time series of monthly power generation in the territory included in the historical power information into the preset second power generation generation model to obtain the time series of monthly power generation in the second territory. Wherein, the above-mentioned time series of the monthly power generation of the second territory may be an ordered set of the monthly power generation of each second territory in the preset year arranged according to the time sequence of the corresponding month.

The second sub-step is to determine the sum of the monthly power generation of each second territory in the time series of monthly power generation of the second territory as the second verification power generation. Wherein, the above-mentioned second verification power generation amount may be the annual power generation amount of the corresponding province in a preset year.

The third sub-step is to select the second distributed power generation information that matches the time series of monthly power generation in the above-mentioned territory from the above-mentioned second distributed power generation information set. Wherein, matching with the time series of monthly power generation of the territory mentioned above may be that the province corresponding to the second allocated power generation information is the same as the province corresponding to the time series of monthly power generation of the territory mentioned above.

The fourth sub-step is to determine whether the above-mentioned second verified power generation amount is equal to the second assigned power generation amount included in the selected second distributed power generation information.

The fifth sub-step is to generate a second error-free flag in response to determining that the second verification power generation amount is equal to the second local distribution power generation amount included in the selected second distribution power generation information. Wherein, the above-mentioned second error-free identifier may be a number. For example, the above-mentioned second error-free flag may be 1.

The sixth sub-step is to generate a second error flag in response to determining that the above-mentioned second verification power generation amount is not equal to the second local distribution power generation amount included in the selected second distribution power generation information. Wherein, the above-mentioned second error identifier may be a number. For example, the above-mentioned second error flag may be 0.

The second step is to determine the number of generated second error-free marks as the second target error-free value. Wherein, the above-mentioned second target error-free value may be the number of each error-free second assigned power generation amount included in the second distributed power generation information.

Step 3: In response to determining that the second target error-free value satisfies the second preset error-free condition, determine the second power generation error-free information as the second review information. Wherein, the above-mentioned second preset error-free condition may be that the above-mentioned second target error-free value is equal to the number of each second assigned power generation amount included in the above-mentioned second distributed power generation information.

Step 4: In response to determining that the second target error-free value does not satisfy the second preset error-free condition, determine the second power generation error information as the second review information.

Step 104, in response to determining that the second review information satisfies the second preset review condition, based on the historical power information set, generate a time series of target historical power generation and a time series of target historical power consumption.

In some embodiments, the execution subject may generate the target historical power generation time series and the target historical power consumption in various ways in response to determining that the second review information satisfies the second preset review condition. Quantitative time series. Wherein, the above-mentioned second preset review condition may be that the above-mentioned second review information is correct information about the second power generation amount. The target historical power generation in the above target historical power generation time series may be the total power generation of each province in the corresponding month. The target historical power consumption in the above target historical power consumption time series may be the total power consumption of each province in the corresponding month.

In some optional implementations of some embodiments, the execution subject may generate a target historical power generation time series and a target historical power generation time series based on the historical power information set in response to determining that the second review information satisfies the second preset review condition. Electricity consumption time series. Specifically, it can be executed as follows:

In the first step, for each target time in the preset target time group, perform the following steps:

The first sub-step is to select the local monthly power generation corresponding to the above target time from the monthly power generation time series included in each historical power information in the above historical power information set, and obtain the monthly power generation group of the territory. Wherein, the target time in the preset target time group may be a month included in the historical year. Corresponding to the above target time may be that the time corresponding to the local monthly power generation included in the local monthly power generation time series is the same as the above target time. The aforementioned group of monthly power generation by territory may be a set of monthly power generation of each province corresponding to the same time.

The second sub-step is to determine the sum of the monthly power generation of each territory in the monthly power generation group of the territory as the target historical power generation. Wherein, the above-mentioned target historical power generation amount may be the total power generation amount of each province in a corresponding month.

The third sub-step is to select the local monthly electricity consumption corresponding to the above target time from the time series of territorial monthly electricity consumption included in each historical power information set in the above-mentioned historical power information set, and obtain the territorial monthly electricity consumption group. Wherein, corresponding to the above target time may be that the time corresponding to the monthly power consumption of the territory included in the monthly power consumption time series of the territory is the same as the above target time. The monthly power consumption group of the territories mentioned above may be a set of monthly power consumption of each province corresponding to the same time.

The fourth sub-step is to determine the sum of the monthly electricity consumption of each territory in the above monthly electricity consumption group as the target historical electricity consumption. Wherein, the above-mentioned target historical power consumption may be the total power consumption of each province in a corresponding month.

The second step is to sort the obtained target historical power generation to obtain the time series of target historical power generation. Through a preset sorting algorithm, each obtained target historical power generation amount can be sorted according to the corresponding month order to obtain a time series of the target historical power generation amount.

As an example, the aforementioned preset sorting algorithm may include but not limited to at least one of the following: Hill sorting, quick sorting, and insertion sorting.

The third step is to sort the obtained historical power consumption of each target to obtain the time series of the target historical power consumption. The above-mentioned preset sorting algorithm can be used to arrange each obtained target historical power consumption according to the order of the corresponding month to obtain a time series of target historical power consumption.

Step 105: Generate a first target distributed power generation based on the target historical power generation time series and a preset first power generation generation model.

In some embodiments, the execution subject generates the first target allocated power generation based on the time series of the target historical power generation and a preset first power generation generation model. Wherein, the above-mentioned first target allocated power generation amount may be the annual power generation amount of the preset region in a preset year obtained from the above-mentioned first power generation amount generation model. The aforementioned preset area may be a region composed of provinces represented by each territorial node. The first target allocated power generation can be generated based on the above target historical power generation time series and the preset first power generation generation model through the following steps:

The first step is to group each target historical power generation amount included in the above target historical power generation amount time series according to corresponding years to obtain a target historical power generation amount group set. Wherein, the target historical power generation group in the above target historical power generation group set may be a set of monthly power generation corresponding to the same year.

In the second step, for each target historical power generation group in the target historical power generation group set, the sum of each target historical power generation in the above target historical power generation group is determined as the target annual power generation, and the target annual power generation set is obtained. Wherein, the target annual power generation of the above target annual power generation may be the annual power generation of the corresponding year.

The third step is to arrange each target annual power generation in the above-mentioned target annual power generation concentration according to the time sequence of the corresponding year, and obtain the time series of the target annual power generation. Wherein, the above time series of target annual power generation may be an ordered set of target annual power generation corresponding to the same province arranged in the order of corresponding years.

The fourth step is to input the time series of the above-mentioned target annual power generation, the time series of the preset target historical GNP and the preset target growth rate into the above-mentioned preset first power generation generation model to obtain the first target allocated power generation . Wherein, the preset target historical GNP time series may be the GNP of each year corresponding to the preset region and the target annual power generation time series. The preset target growth rate may be the growth rate of the GNP of the preset region in a preset year.

Step 106: Input the time series of the target historical power generation and the time series of the target historical power consumption respectively into the preset second power generation model to obtain the time series of the target distributed power generation and the time series of the target distributed power consumption.

In some embodiments, the execution subject can input the time series of the target historical power generation and the time series of the target historical power consumption into the preset second power generation generation model respectively to obtain the time series of the target distribution of power generation and the time series of the target distribution. power time series. Wherein, the target distributed power generation in the time series of target distributed power generation may be the monthly power generation of the preset region in a preset year. The target distributed electricity consumption in the target distributed electricity consumption time series may be the monthly electricity consumption of the preset region in a preset year. The above-mentioned time series of target historical power generation and the time series of target historical power consumption can be respectively input into the preset second power generation generation model through the following steps to obtain the time series of target distribution of power generation and time series of target distribution of power consumption:

In the first step, the time series of target historical power generation is input into the above-mentioned preset second power generation model to obtain the time series of target distributed power generation.

In the second step, the time series of target historical power consumption is input into the above-mentioned preset second power generation model to obtain the time series of target distributed power consumption.

Step 107: Based on the time series of target allocated power generation and the time series of target allocated power consumption, generate a second target allocated power generation and supply-demand matching information.

In some embodiments, the executive body may generate the second target allocated power generation and supply-demand matching information based on the above-mentioned target allocated power generation time series and the above-mentioned target allocated power consumption time series in various ways. Wherein, the second target allocated power generation amount may be the annual power generation amount of the preset region in a preset year. The above supply-demand matching information can be used to characterize whether there is a balanced relationship between annual power generation and annual power consumption. The above balance relationship may be that the percentage of annual power consumption in the same year to annual power generation is within a preset ratio range. For example, the above preset ratio range may be [95%, 105%].

In some optional implementations of some embodiments, the execution subject may generate the second target allocated power generation and supply-demand matching information based on the above-mentioned target allocated power generation time series and the above-mentioned target allocated power consumption time series through the following steps :

In the first step, the sum of the target distributed power generation amounts in the time series of target distributed power generation amounts is determined as the second target distributed power generation amount.

In the second step, the sum of the target distributed power consumption in the above target distributed power consumption time series is determined as the second target distributed power consumption.

In the third step, the percentage of the above-mentioned second target allocated power consumption to the above-mentioned second target allocated power generation is determined as supply-demand matching information.

The above-mentioned supply-demand matching information generation steps and related content, as an inventive point of the embodiments of the present disclosure, solve the technical problem mentioned in the background technology two: "When generating power generation distribution information, it is often easy to ignore the difference between power consumption and power generation. As a result, the accuracy of power generation allocation information is low, which in turn leads to overcapacity or undercapacity. The problems that lead to low accuracy of power generation allocation information are often as follows: when generating power generation allocation information, it is often easy to ignore the constraint relationship between power consumption and power generation, which leads to low accuracy of power generation allocation information, and in turn, causes production capacity Excess or undercapacity. If the above problems are solved, the effect of improving the accuracy of power generation distribution information can be achieved. In order to achieve this effect, this disclosure fully considers the constraint relationship between power consumption and power generation. First, the second target distribution power generation and the second target distribution power consumption are generated, and then the second target distribution power The percentage of electricity in the second target allocated power generation is determined as the supply-demand matching information, and finally, the rationality of the generated second target allocated power generation can be identified through the above-mentioned supply-demand matching information. If the above percentage is within the preset range, it can be shown that the generated second target distributed power generation is more reasonable and the supply and demand are balanced. If the above percentage is below the preset range, it may indicate that the generated second target allocated power generation is unreasonable and there is a risk of overcapacity. If the above percentage is above the preset range, it may indicate that the generated second target allocated power generation is unreasonable and there is a risk of insufficient production capacity. Thereby, the accuracy of power generation allocation information can be improved, and overcapacity or undercapacity can be avoided.

Step 108 , in response to determining that the supply-demand matching information satisfies a preset supply-demand matching condition, generating power generation distribution information based on the first distribution generation information set, the second distribution generation information set, the first target distribution generation amount, and the second target distribution generation amount.

In some embodiments, in response to determining that the supply-demand matching information satisfies the preset supply-demand matching condition, the above-mentioned execution subject may, in various ways, based on the above-mentioned first distribution generation information set, the above-mentioned second distribution generation information set, the above-mentioned first target The allocated power generation amount and the above-mentioned second target allocated power generation amount are used to generate power generation allocation information. Wherein, the above preset supply and demand matching condition may be that the percentage corresponding to the supply and demand matching information is within the above preset ratio range. The above-mentioned power distribution information may be the power generation amount information of the preset area to be distributed in a preset year.

In some optional implementations of some embodiments, each piece of first distributed power generation information in the above-mentioned first distributed power generation information set may include the first assigned power generation amount, and each second allocation in the above-mentioned second distributed power generation information set The power generation information may include the amount of power generation assigned to the second territory. The execution subject may generate power generation distribution information based on the first distribution power generation information set, the second distribution power generation information set, the first target distribution power generation amount, and the second target distribution power generation amount through the following steps:

In the first step, the sum of the first assigned power generation amounts included in the first distributed power generation information in the first distributed power generation information set is determined as the third target distributed power generation amount. Wherein, the above-mentioned third target distributed power generation may be the total annual power generation of each province in a preset year.

In a second step, in response to determining that the first target distributed power generation meets a first preset power generation condition, the first target distributed power generation is determined as a first distribution reference value. Wherein, the above-mentioned first preset power generation condition may be that the first target allocated power generation is greater than or equal to the third target allocated power generation. The above-mentioned first allocation reference value may be the power generation amount to be generated in a preset year corresponding to the preset area of the first power generation model.

In a third step, in response to determining that the first target allocated power generation meets a second preset power generation condition, the third target allocated power generation is determined as a first allocation reference value. Wherein, the aforementioned second preset power generation condition may be that the first target allocated power generation is smaller than the third target allocated power generation.

In the fourth step, the sum of the second distributed power generation amounts included in the second distributed power generation information in the second distributed power generation information set is determined as the fourth target distributed power generation amount. Wherein, the above-mentioned fourth target distributed power generation may be the total annual power generation of each province in a preset year.

Step 5: In response to determining that the second target distributed power generation meets a third preset power generation condition, determine the second target distributed power generation as a second distribution reference value. Wherein, the aforementioned third preset power generation condition may be that the second target allocated power generation is greater than or equal to the fourth target allocated power generation. The above-mentioned second allocation reference value may be the power generation amount to be generated in a preset year corresponding to the preset area of the second power generation model.

Step 6: In response to determining that the second target distributed power generation meets a fourth preset power generation condition, determine the above fourth target distributed power generation as a second distribution reference value. Wherein, the aforementioned fourth preset power generation condition may be that the second target allocated power generation is smaller than the fourth target allocated power generation.

The seventh step is to generate power generation allocation information based on the first allocation reference value and the second allocation reference value. The executive body may generate power generation allocation information based on the first allocation reference value and the second allocation reference value in various ways.

In some optional implementations of some embodiments, the executive body may generate power generation allocation information based on the first allocation reference value and the second allocation reference value through the following steps:

In the first step, the difference between the first allocation reference value and the second allocation reference value is determined as an allocation error value. Wherein, the above-mentioned distribution error value may be a difference between the to-be-generated amounts respectively outputted by the two generation generation models for the preset region in the preset year or more.

In the second step, in response to determining that the distribution error value satisfies the first preset error condition, the preset area, the preset year, and the first distribution reference value are determined as power generation distribution information. Wherein, the above-mentioned first preset error condition may be that the above-mentioned distribution error value is not less than zero.

Optionally, the above execution subject may also perform the following steps:

In the first step, in response to determining that the distribution error value satisfies the second preset error condition, based on the second distribution generation information set, a target area growth rate value set is generated. Wherein, the above-mentioned second preset error condition may be that the above-mentioned distribution error value is less than zero. The target territory growth rate value in the above target territory growth rate value set may be the growth rate value of the GNP of the corresponding province in the preset year. The following steps may be performed for each second distributed power generation information in the second distributed power generation information set:

The first sub-step is to select a first historical power generation time series that matches the second distributed power generation information from the first historical power generation time series set. Wherein, matching with the above-mentioned second distributed power generation information may be that the above-mentioned second distributed power generation information and the first historical power generation amount time series correspond to the same province.

The second sub-step is to combine the time series of the above-mentioned first historical power generation, the second distributed power generation included in the above-mentioned second distributed power generation information, and the second preset historical gross national product time matched with the above-mentioned second distributed power generation information Sequentially input the above-mentioned preset first power generation model to obtain the growth rate value of the target territory. Wherein, matching with the second distributed power generation information may be that the second distributed power generation information and the second preset historical GNP time series correspond to the same province. It should be noted that, in the case that the electricity to be generated in the preset year, the electricity generated in each historical year, and the gross national product are all known, the above-mentioned preset first electricity generation model can also output the national The growth rate of GDP.

In the second step, the property growth rate value included in each node information in the above node information set is determined as the initial property growth rate value to obtain the initial property growth rate value set. Wherein, the initial territorial growth rate value in the above-mentioned initial territorial growth rate value set may be the planned growth rate value of the corresponding province's GNP in a preset year.

The third step is to generate a first weight value and a second weight value based on the above-mentioned initial territory speed-up value set and the above-mentioned target territory speed-up value set. Wherein, the above-mentioned first weight value may be the weight of the growth rate of the gross national product in determining the electricity to be produced. The above-mentioned second weight value may be the weight of each year's power generation in the historical years in determining the power to be produced. The above-mentioned first weight value and the above-mentioned second weight value may satisfy a preset weight value condition. The preset weight condition may be: the first weight may be a decimal less than 1, the second weight may be a decimal less than 1, and the sum of the first weight and the second weight may be 1 . The first weight value and the second weight value may be generated based on the above-mentioned initial territory speed-up value set and the above-mentioned target territory speed-up value set through a preset weight determination method.

As an example, the aforementioned preset weight determination method may be, but not limited to, one of the following: entropy method, standard deviation method, and analytic hierarchy process.

In the fourth step, the product of the above-mentioned first distribution reference value and the above-mentioned first weight value is determined as the first decision-making value of distribution power generation. Wherein, the above-mentioned first distribution decision value of power generation may be a decision value of the planned growth rate of gross national product in a preset year for power generation. The above-mentioned decision value may be the amount of power generation.

In the fifth step, the product of the above-mentioned second distribution reference value and the above-mentioned second weight value is determined as the second distribution decision value of power generation. Wherein, the above-mentioned second distribution decision value of power generation may be a decision value of power generation in historical years versus power generation in preset years.

In the sixth step, the sum of the above-mentioned first distribution decision value of power generation and the above-mentioned second distribution decision value of power generation is determined as the power generation distribution value. Wherein, the distribution value of the above-mentioned power generation amount may be the amount of electricity to be generated allocated in a preset year.

In the seventh step, the above-mentioned preset area, the above-mentioned preset year, and the above-mentioned distribution value of power generation are determined as power generation distribution information.

Optionally, the above execution subject may also perform the following steps:

In the first step, for each target territory identification in the preset target territory identification group, perform the following steps:

The first sub-step is to select the first distributed power generation information matching the target location identifier from the first distributed power generation information set. Wherein, the target territory identifier in the aforementioned preset target territory identifier group may uniquely identify a province. Matching with the above-mentioned target location identifier may be that the first allocated power generation information and the above-mentioned target location identifier correspond to the same province.

The second sub-step is to select the second distributed power generation information that matches the target location identifier from the above-mentioned second distributed power generation information set. Wherein, matching with the above-mentioned target location identifier may mean that the second allocated power generation information corresponds to the same province as the above-mentioned target location identifier.

In the third sub-step, the difference between the first distributed power generation amount included in the selected first distributed power generation information and the second distributed power generation amount included in the selected second distributed power generation information is determined as the local resource factor value. Wherein, the above-mentioned territorial resource factor value may be the difference between the power generation outputs respectively output by the above two power generation generation models.

The fourth sub-step is to determine the target territory identifier and the territory resource factor value as the first territory resource demand information in response to determining that the territory resource factor value satisfies the third preset error condition. Wherein, the above-mentioned third preset error condition may be that the value of the above-mentioned territorial resource factor is greater than or equal to zero. The above-mentioned preset resource demand information of the first territory may be the information of the new power generation to be produced on the basis of ensuring the growth rate of the gross national product in the preset year.

In the fifth sub-step, in response to determining that the resource factor value of the territory satisfies the fourth preset error condition, determine the target territory identifier and the preset resource factor value of the territory as the second territory resource demand information. Wherein, the above-mentioned fourth preset error condition may be that the value of the above-mentioned territorial resource factor is less than zero. The aforementioned preset property factor value may be 0. The above-mentioned preset resource demand information of the second territory may be the information of the new power generation to be produced based on the power generation of each year in the historical years.

The second step is to determine each of the determined resource demand information of the first territory and each of the determined resource demand information of the second territory as the resource demand information of the target territory, and obtain the resource demand information set of the target territory. Wherein, the resource demand information of the target territory in the resource demand information set of the above target territory may be the information of the newly-increased power generation to be produced in the corresponding province in the preset year.

In the third step, the sum of the domain resource factor values corresponding to each target domain resource demand information in the above target domain resource demand information set is determined as the global new resource factor value. Wherein, the above global new resource factor value may be the total power generation capacity newly added in the preset area in the preset year.

The fourth step is to perform the following steps for each target territory resource demand information in the above target territory resource demand information set:

The first sub-step is to determine the percentage of the resource factor value corresponding to the target territory resource demand information in the newly added resource factor value of the whole domain as the newly added resource factor value of the territory. Wherein, the newly-increased resource factor value of the territory mentioned above can be used to represent the proportion of the to-be-increased power generation in the corresponding province in the preset year to the total to-be-increased power in the preset area.

The second sub-step is to determine the product of the preset value of newly added personnel and the value of the above-mentioned newly added resource factor of the territory as the value of newly added human resources allocated to the territory. Wherein, the above-mentioned preset new number of people corresponds to the above-mentioned power generation distribution information. The allocation value of the above-mentioned new human resources in the territory may be the number of new personnel required for the corresponding province to increase the power generation capacity.

The above-mentioned steps of generating new human resource allocation values for each territory and related content, as an invention point of the embodiment of the present disclosure, solve the technical problem mentioned in the background technology three "When carrying out power generation work according to the above-mentioned power generation allocation information, More qualitative methods are often used to determine the number of human resources required for power generation work, and there is a lack of more accurate quantitative data to support it, thus easily leading to excess or insufficient human resources in the power industry." The problems that lead to excess or insufficient human resources in the power industry are often as follows: When carrying out power generation work according to the above-mentioned power generation allocation information, qualitative methods are often used to determine the number of human resources required for power generation work, and there is a lack of more accurate quantitative data to support , Thus, it is easy to lead to excess human resources or insufficient human resources in the electric power industry. If the above problems are solved, the effect of reducing the excess or shortage of human resources in the electric power industry can be achieved. In order to achieve this effect, the disclosure first generates the territorial resource factor values corresponding to each province, and secondly, generates the target territorial resource demand information corresponding to each province, so as to participate in human resource allocation, and then generates new resources by generating the corresponding territorial resources of each province The factor value determines the share of each province in the allocation of new human resources. Finally, according to the share of each province, the new human resource allocation value corresponding to each province is obtained. Therefore, the above-mentioned newly added human resources allocation value of the territory can provide a more accurate quantitative reference for determining the number of human resources required for power generation work when the power generation work is carried out according to the above-mentioned power generation distribution information. Thus, the phenomenon of excess or insufficient human resources in the electric power industry can be reduced.

The above-mentioned embodiments of the present disclosure have the following beneficial effects: the accuracy of the power generation distribution information can be improved through the generating method of the power generation distribution information in some embodiments of the present disclosure. Specifically, the reason for the low accuracy of power generation allocation information is that relying only on a single power generation generation algorithm often easily leads to "overfitting" or "underfitting" of the generated power generation results. Information accuracy is low. Based on this, in some embodiments of the present disclosure, in the generating method of power generation distribution information, firstly, a set of historical power information, a first set of distributed power generation information, and a second set of distributed power generation information are acquired. In this way, it is convenient to subsequently correct the distributed power generation in the preset area through the distributed power generation in each province. Wherein, the above-mentioned preset area corresponds to each of the above-mentioned provinces. Secondly, a verification process is performed on the above-mentioned first distributed power generation information set to obtain first review information. In response to determining that the first review information satisfies the first preset review condition, a verification process is performed on the second distributed power generation information set to obtain second review information. In response to determining that the second review information satisfies the second preset review condition, a time series of target historical power generation and a time series of target historical power consumption are generated based on the above historical power information set. Therefore, the accuracy of the data source can be ensured by checking the first distributed power generation information set and the second distributed power generation information set. Therefore, accurate target historical power generation time series and target historical power consumption time series can be generated, which is convenient for obtaining planned power generation through different power generation generation models in order to generate power generation allocation information. Then, based on the time series of target historical power generation and the preset first power generation generation model, the first target distributed power generation is generated. In this way, the first target allocated power generation in the preset area affected by the economic growth rate can be obtained through the preset first power generation generation model, which facilitates subsequent mutual correction with the preset second power generation generation model. Afterwards, the time series of target historical power generation and the time series of target historical power consumption are respectively input into the preset second power generation model to obtain the time series of target distributed power generation and target distributed power consumption. Based on the time series of target allocated power generation and the time series of target allocated power consumption, the second target allocated power generation and supply-demand matching information are generated. In this way, the second target allocated power generation that has the same trend as the historical year power generation can be obtained through the preset second power generation generation model, which facilitates subsequent correction of deviations from the above-mentioned first target allocated power generation. Finally, in response to determining that the supply-demand matching information satisfies the preset supply-demand matching condition, based on the first distributed power generation information set, the second distributed power generation information set, the first target distributed power generation, and the second target distributed power generation, generate Generation allocation information. In this way, the distributed power generation of each province can be used to correct the distribution of power generation in the preset area, and the distribution of power generated by the above two power generation models can be mutually corrected, so that the power generation distribution information can be improved. accuracy. Therefore, some power generation allocation information generation methods disclosed in the present disclosure comprehensively consider the economic growth rate and the natural growth trend of the power generation itself over the years, and use two different types of power generation models to generate distributed power generation to correct each other. The generated power generation results are "over-fitting" or "under-fitting", so that the accuracy of power generation allocation information can be improved.

Further referring to FIG. 2 , as an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a device for generating distribution information, and these device embodiments correspond to those method embodiments shown in FIG. 1 , the The device can be specifically applied to various electronic devices.

As shown in FIG. 2 , the power generation allocation information device 200 of some embodiments includes: an acquisition unit 201 , a first verification unit 202 , a second verification unit 203 , a first generation unit 204 , a second generation unit 205 , and an input unit 206 , the third generation unit 207 and the fourth generation unit 208 . Among them, the acquisition unit 201 is configured to acquire the historical power information set, the first distribution generation information set and the second distribution generation information set; the first verification unit 202 is configured to verify the above-mentioned first distribution generation information set processing to obtain the first review information; the second verification unit 203 is configured to perform verification processing on the second distribution power generation information set to obtain the second Review information; the first generation unit 204 is configured to generate a target historical power generation time series and a target historical power consumption time series based on the above historical power information set in response to determining that the second review information satisfies a second preset review condition The second generation unit 205 is configured to generate the first target distribution power generation based on the above-mentioned target historical power generation time series and the preset first power generation model; the input unit 206 is configured to convert the above-mentioned target historical power generation The time series and the above-mentioned target historical power consumption time series are respectively input into the preset second power generation model to obtain the target distributed power generation time series and the target distributed power consumption time series; the third generation unit 207 is configured to be based on the above The time series of target allocated power generation and the above-mentioned target allocated power consumption time series generate the second target allocated power generation and supply-demand matching information; the fourth generating unit 208 is configured to respond to determining that the above-mentioned supply-demand matching information satisfies the preset supply-demand matching condition and generating power generation allocation information based on the first allocated power generation information set, the second allocated power generation information set, the first target allocated power generation amount, and the second target allocated power generation amount.

It can be understood that the units recorded in the device 200 correspond to the steps in the method described with reference to FIG. 1 . Therefore, the operations, features and beneficial effects described above for the method are also applicable to the device 200 and the units contained therein, and will not be repeated here.

Further referring to FIG. 3 , it shows a schematic structural diagram of an electronic device 300 suitable for implementing some embodiments of the present disclosure. The electronic device shown in FIG. 3 is only an example, and should not limit the functions and scope of use of the embodiments of the present disclosure.

As shown in FIG. 3 , an electronic device 300 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) 301 that can be randomly accessed according to a program stored in a read-only memory (ROM) 302 or loaded from a storage device 308 Various appropriate actions and processes are executed by programs in the memory (RAM) 303 . In the RAM 303, various programs and data necessary for the operation of the electronic device 300 are also stored. The processing device 301 , ROM 302 and RAM 303 are connected to each other through a bus 304 . An input/output (I/O) interface 305 is also connected to the bus 304 .

Typically, the following devices can be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; including, for example, a liquid crystal display (LCD), speaker, vibration an output device 307 such as a computer; a storage device 308 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 309. The communication means 309 may allow the electronic device 300 to perform wireless or wired communication with other devices to exchange data. While FIG. 3 shows electronic device 300 having various means, it should be understood that implementing or having all of the means shown is not a requirement. More or fewer means may alternatively be implemented or provided. Each block shown in FIG. 3 may represent one device, or may represent multiple devices as required.

In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, where the computer program includes program codes for executing the methods shown in the flowcharts. In some such embodiments, the computer program may be downloaded and installed from a network via communication means 309 , or from storage means 308 , or from ROM 302 . When the computer program is executed by the processing device 301, the above-mentioned functions defined in the methods of some embodiments of the present disclosure are performed.

It should be noted that the above-mentioned computer-readable medium in some embodiments of the present disclosure may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to, electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable Programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. In some embodiments of the present disclosure, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code thereon. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can transmit, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device . Program code embodied on a computer readable medium may be transmitted by any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

In some embodiments, the client and the server can communicate using any currently known or future-developed network protocols such as HTTP (HyperText Transfer Protocol), and can communicate with digital data in any form or medium (eg, communication network) interconnections. Examples of communication networks include local area networks (“LANs”), wide area networks (“WANs”), internetworks (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network of.

The above-mentioned computer-readable medium may be included in the above-mentioned device, or may exist independently without being incorporated into the electronic device. The above-mentioned computer-readable medium carries one or more programs, and when the above-mentioned one or more programs are executed by the electronic device, the electronic device: acquires the historical power information set, the first allocated power generation information set, and the second allocated power generation information set; perform verification processing on the first distribution power generation information set to obtain first review information; in response to determining that the first review information satisfies the first preset review condition, perform verification processing on the second distribution power generation information set, Obtaining the second review information; in response to determining that the second review information satisfies the second preset review condition, based on the above-mentioned historical power information set, generating a target historical power generation time series and a target historical power consumption time series; based on the above-mentioned target historical power generation The time series of the above-mentioned target historical power generation and the time series of the above-mentioned target historical power consumption are respectively input into the preset second power generation generation model , to obtain the time series of target allocated power generation and the time series of target allocated power consumption; based on the above time series of target allocated power generation and the above-mentioned time series of target allocated power consumption, generate the second target allocated power generation and supply-demand matching information; in response to determining The supply-demand matching information satisfies preset supply-demand matching conditions, and the power generation distribution information is generated based on the first distribution generation information set, the second distribution generation information set, the first target distribution generation amount, and the second target distribution generation amount.

Computer program code for carrying out operations of some embodiments of the present disclosure can be written in one or more programming languages, or combinations thereof, including object-oriented programming languages—such as Java, Smalltalk, C++ , also includes conventional procedural programming languages—such as the "C" language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In cases involving a remote computer, the remote computer can be connected to the user computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (for example, using an Internet service provider to connected via the Internet).

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, program segment, or portion of code that contains one or more logical functions for implementing specified executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by a dedicated hardware-based system that performs the specified functions or operations , or may be implemented by a combination of dedicated hardware and computer instructions.

The units described in some embodiments of the present disclosure may be realized by software or by hardware. The described unit can also be set in the processor, for example, it can be described as: a processor includes an acquisition unit, a first verification unit, a second verification unit, a first generation unit, a second generation unit, an input unit , the third generation unit and the fourth generation unit. Wherein, the names of these units do not constitute a limitation to the unit itself under certain circumstances. For example, the acquisition unit can also be described as "acquiring the historical power information set, the first allocated power generation information set, and the second allocated power generation information set." unit".

The functions described herein above may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), System on Chips (SOCs), Complex Programmable Logical device (CPLD) and so on.

Some embodiments of the present disclosure further provide a computer program product, including a computer program, and when the computer program is executed by a processor, any one of the methods for generating distribution information above is implemented.

The above descriptions are only some preferred embodiments of the present disclosure and illustrations of the applied technical principles. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solution formed by the specific combination of the above-mentioned technical features, but also covers the above-mentioned invention without departing from the above-mentioned inventive concept. Other technical solutions formed by any combination of technical features or equivalent features. For example, a technical solution formed by replacing the above-mentioned features with technical features having similar functions disclosed in (but not limited to) the embodiments of the present disclosure.

Claims (8)

1. A power generation distribution information generation method comprising:

acquiring a historical power information set, a first distribution power generation information set and a second distribution power generation information set;

checking the first distributed power generation information set to obtain first rechecking information;

in response to the fact that the first rechecking information meets a first preset rechecking condition, carrying out verification processing on the second distribution power distribution information set to obtain second rechecking information;

in response to determining that the second review information meets a second preset review condition, generating a target historical power generation time series and a target historical power consumption time series based on the historical power information set, wherein each target historical power generation in the target historical power generation time series is the total power generation of each province in the corresponding month, and each target historical power consumption in the target historical power consumption time series is the total power consumption of each province in the corresponding month;

generating a first target distribution power generation amount based on the target historical power generation amount time series and a preset first power generation amount generation model;

respectively inputting the target historical generated energy time series and the target historical power consumption time series into a preset second generated energy generation model to obtain a target distributed generated energy time series and a target distributed power consumption time series;

generating second target distribution power generation amount and supply and demand matching information based on the target distribution power generation amount time series and the target distribution power consumption amount time series;

generating power generation distribution information based on the first distribution power generation information set, the second distribution power generation information set, the first target distribution power generation amount, and the second target distribution power generation amount in response to determining that the supply and demand matching information satisfies a preset supply and demand matching condition.

2. The method of claim 1, wherein prior to the obtaining the historical power information set, the first distributed power information set, and the second distributed power information set, the method further comprises:

and generating a node information set for deploying each server based on a preset attribution information set, wherein each node information in the node information set comprises historical power information, first distribution power generation information and second distribution power generation information, and the historical power information comprises an attribution monthly power generation amount time sequence and an attribution monthly power consumption time sequence.

3. The method of claim 2, wherein generating a target historical power generation and power usage time series based on the historical power information set comprises:

for each target time in a preset target time group, executing the following steps:

selecting the attribution month electric energy generation corresponding to the target time from the attribution month electric energy generation time sequence included in each historical electric energy information in the historical electric energy information set to obtain an attribution month electric energy generation group;

determining the sum of the earth monthly power generation quantities in the earth monthly power generation quantity group as a target historical power generation quantity;

selecting the attribution monthly electricity consumption corresponding to the target time from the attribution monthly electricity consumption time sequence included in each piece of historical electricity information in the historical electricity information set to obtain an attribution monthly electricity consumption group;

determining the sum of the earth monthly electricity consumption in the earth monthly electricity consumption group as a target historical electricity consumption;

sequencing each obtained historical power generation amount of the targets to obtain a time sequence of the historical power generation amount of the targets;

and sequencing each obtained target historical electricity consumption to obtain a target historical electricity consumption time sequence.

4. The method of any of claims 2-3, wherein each of the first distributed power generation information sets includes a first attribute distributed power generation amount, and each of the second distributed power generation information sets includes a second attribute distributed power generation amount; and

the generating power generation distribution information based on the first distributed power generation information set, the second distributed power generation information set, the first target distributed power generation amount, and the second target distributed power generation amount includes:

determining a sum of first attribute distribution power generation amounts included in each of the first distribution power generation information sets as a third target distribution power generation amount;

determining the first target distributed power generation amount as a first distributed reference value in response to a determination that the first target distributed power generation amount satisfies a first preset power generation amount condition;

determining the third target distributed power generation amount as a first distributed reference value in response to a determination that the first target distributed power generation amount satisfies a second preset power generation amount condition;

determining a sum of second attribute distributed power generation amounts included in each second distributed power generation information set as a fourth target distributed power generation amount;

determining the second target distributed power generation amount as a second distribution reference value in response to a determination that the second target distributed power generation amount satisfies a third preset power generation amount condition;

determining the fourth target distributed power generation amount as a second distribution reference value in response to a determination that the second target distributed power generation amount satisfies a fourth preset power generation amount condition;

generating power generation distribution information based on the first distribution reference value and the second distribution reference value.

5. The method of claim 4, wherein the generating power generation allocation information based on the first allocation reference value and the second allocation reference value comprises:

determining a difference between the first distribution reference value and the second distribution reference value as a distribution error value;

in response to determining that the distribution error value satisfies a first preset error condition, determining a preset region, a preset year, and the first distribution reference value as power generation distribution information.

6. A power generation distribution information generation device comprising:

an acquisition unit configured to acquire a historical power information set, a first distributed power information set, and a second distributed power information set;

the first checking unit is configured to check the first distributed power generation information set to obtain first rechecking information;

a second checking unit configured to perform checking processing on the second distribution power generation information set in response to determining that the first rechecking information meets a first preset rechecking condition, so as to obtain second rechecking information;

a first generation unit configured to generate a target historical power generation amount time series and a target historical power consumption amount time series based on the historical power information set in response to determining that the second review information satisfies a second preset review condition, wherein each target historical power generation amount in the target historical power generation amount time series is the total power generation amount of each province in a corresponding month, and each target historical power consumption amount in the target historical power consumption amount time series is the total power consumption amount of each province in a corresponding month;

a second generation unit configured to generate a first target distribution power generation amount based on the target historical power generation amount time series and a preset first power generation amount generation model;

the input unit is configured to input the target historical power generation amount time series and the target historical power consumption amount time series into a preset second power generation amount generation model respectively to obtain a target distribution power generation amount time series and a target distribution power consumption amount time series;

a third generation unit configured to generate second target distribution power generation amount and supply and demand matching information based on the target distribution power generation amount time series and the target distribution power consumption amount time series;

a fourth generation unit configured to generate power generation distribution information based on the first distributed power generation information set, the second distributed power generation information set, the first target distributed power generation amount, and the second target distributed power generation amount in response to a determination that the supply and demand matching information satisfies a preset supply and demand matching condition.

7. An electronic device, comprising:

one or more processors;

a storage device having one or more programs stored thereon,

when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-5.

8. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-5.

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