CN115115292B

CN115115292B - Power generation distribution information generation method, device, apparatus, medium, and program product

Info

Publication number: CN115115292B
Application number: CN202211050365.6A
Authority: CN
Inventors: 冯东; 周世颖; 王�华
Original assignee: State Grid Information and Telecommunication Co Ltd; Beijing Guodiantong Network Technology Co Ltd
Current assignee: State Grid Siji Location Service Co ltd; State Grid Information and Telecommunication Co Ltd; Beijing Guodiantong Network Technology Co Ltd
Priority date: 2022-08-31
Filing date: 2022-08-31
Publication date: 2022-11-08
Anticipated expiration: 2042-08-31
Also published as: CN115115292A

Abstract

Embodiments of the present disclosure disclose power generation distribution information generation methods, apparatuses, devices, media, and program products. One embodiment of the method comprises: 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; checking the second distribution power generation information set to obtain second rechecking information; generating a target historical power generation time sequence and a target historical power consumption time sequence based on the historical power information set; generating a first target distribution power generation amount; respectively inputting the target historical power generation time sequence and the target historical power consumption time sequence into a preset second power generation model to obtain a target distribution power generation time sequence and a target distribution power consumption time sequence; generating second target distribution generating capacity and supply and demand matching information; and generating power generation distribution information. This embodiment can improve the accuracy of the power generation distribution information.

Description

Power generation distribution information generation method, device, apparatus, medium, and program product

Technical Field

Embodiments of the present disclosure relate to the field of computer technologies, and in particular, to a power generation distribution information generation method, apparatus, device, medium, and program product.

Background

A power generation distribution information generation method is a technology for making a power generation plan. At present, when generating power generation distribution information, the following method is generally adopted: and generating power generation distribution information by adopting a single power generation amount generation algorithm according to the economic growth speed to be achieved.

However, the inventors have found that when the power generation distribution information generation is performed in the above manner, there often occurs a technical problem that:

firstly, depending on a single generated energy generation algorithm, the generated energy result is often easy to be over-fit or under-fit, so that the accuracy of the generated power distribution information is low;

secondly, when generating the power generation distribution information, the constraint relation between the power consumption and the power generation amount is often easily ignored, so that the accuracy of the power generation distribution information is low, and further, the excess or insufficient capacity is caused;

thirdly, when power generation work is carried out according to the power generation distribution information, more human resources needed by the power generation work are often determined by adopting a qualitative method, and accurate quantitative data is not provided for supporting, so that the surplus or shortage of human resources in the power industry is easily caused.

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 to a person of ordinary skill in the art in this country.

Disclosure of Invention

This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

Some embodiments of the present disclosure propose power generation distribution information generation methods, apparatuses, devices, media, and program products to solve one or more of the technical problems noted in the background section above.

In a first aspect, some embodiments of the present disclosure provide a power generation distribution information generation method, including: 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; generating a target historical power generation time sequence and a target historical power consumption time sequence based on the historical power information set in response to the fact that the second rechecking information meets a second preset rechecking condition; generating a first target distribution power generation amount based on the target historical power generation amount time sequence 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; in response to determining that the supply and demand matching information satisfies a preset supply and demand matching condition, 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.

In a second aspect, some embodiments of the present disclosure provide a power generation distribution information generation apparatus, the apparatus including: 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; the second checking unit is configured to perform checking processing on the second distribution power generation information set in response to the fact that the first rechecking information meets a first preset rechecking condition, and second rechecking information is obtained; a first generating 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; 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 a 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 generating 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.

In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in any of the implementations of the first aspect.

In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.

In a fifth aspect, some embodiments of the present disclosure provide a computer program product comprising a computer program that, when executed by a processor, implements the method described in any of the implementations of the first aspect above.

The above embodiments of the present disclosure have the following advantages: by the power generation distribution information generation method of some embodiments of the present disclosure, the accuracy of the power generation distribution information can be improved. Specifically, the reason why the accuracy of the power generation distribution information is low is that: only depending on a single power generation amount generation algorithm, the generated power generation amount result is often over-fit or under-fit easily, so that the accuracy of the power generation distribution information is low. Based on this, the power generation distribution information generation method of some embodiments of the present disclosure, first, acquires a historical power information set, a first distributed power information set, and a second distributed power information set. Therefore, the deviation of the distributed power generation of the preset area can be corrected conveniently through the distributed power generation of each province. Wherein the predetermined area corresponds to each of the provinces. And secondly, checking the first distributed power generation information set to obtain first rechecking information. And in response to the fact that the first rechecking information meets the first preset rechecking condition, carrying out verification processing on the second distribution power generation information set to obtain second rechecking information. And generating a target historical power generation time sequence and a target historical power consumption time sequence based on the historical power information set in response to the fact that the second rechecking information meets a second preset rechecking condition. Therefore, the accuracy of the data source can be ensured by rechecking the first distribution power distribution information set and the second distribution power distribution information set. Therefore, an accurate target historical power generation time series and a target historical power consumption time series can be generated, and the planned power generation amount can be conveniently obtained through different power generation amount generation models subsequently so as to generate power generation distribution information. And then, 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. Therefore, the first target distribution power generation amount of the preset area affected by the economic acceleration can be obtained through the preset first power generation amount generation model, and the mutual rectification between the subsequent first target distribution power generation amount and the preset second power generation amount generation model is facilitated. And then, respectively inputting 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 to obtain a target distribution power generation amount time series and a target distribution power consumption amount time series. And 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. Therefore, a second target distribution power generation amount with the same trend with the power generation amount in the historical year can be obtained through a preset second power generation amount generation model, and the follow-up correction of the power generation amount and the first target distribution power generation amount is facilitated. And finally, 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 the fact that the supply and demand matching information meets the preset supply and demand matching condition. Therefore, the distributed power generation of the preset area can be corrected through the distributed power generation of each province, and the distributed power generation generated by the two power generation models can be mutually corrected, so that the accuracy of power generation distribution information can be improved. Therefore, according to the power generation distribution information generation method, the economic growth speed and the natural growth trend of the power generation over the years are comprehensively considered, the distributed power generation generated by the two different types of power generation models is corrected mutually, and the generated power generation result is prevented from being over-fitted or under-fitted, so that the accuracy of the power generation distribution information can be improved.

Drawings

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

FIG. 1 is a flow diagram of some embodiments of a power generation distribution information generation method according to the present disclosure;

FIG. 2 is a schematic block diagram of some embodiments of a power generation distribution information generation apparatus according to the present disclosure;

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

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to 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 embodiments are provided so that this disclosure will be thorough and complete. It should be understood that the drawings and the embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.

It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.

It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence of the functions performed by the devices, modules or units.

It is noted that references to "a" or "an" in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will appreciate that references to "one or more" are intended to be exemplary and not limiting unless the context clearly indicates otherwise.

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

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

Fig. 1 illustrates a flow 100 of some embodiments of a power generation distribution information generation method according to the present disclosure. The power generation distribution information generation method comprises the following steps:

step 101, a historical power information set, a first distribution power information set and a second distribution power information set are obtained.

In some embodiments, an executing subject (e.g., a computing device) of the power generation distribution information generation method may acquire the historical power information set, the first distributed power information set, and the second distributed power information set by way of a wired connection or a wireless connection. The historical power information in the historical power information set may be the information of the power generation amount and the power consumption amount of the corresponding province in each month in the historical year, which is sent by the server through the ethernet. The historical years may be used to characterize at least one past year. The first distribution power information in the first distribution power information set may be information of the amount of power to be distributed, which is sent by the server through the ethernet. The information of the distributed amount of power to be generated may be information of total power to be generated in a preset year corresponding to the province. The predetermined year may be a year in the future. For example, the preset year may be the second year. The first distributed power information in the first distributed power information set may include, but is not limited to, at least one of: the first attribute identification and the first attribute distribute the power generation amount. The first owner identifier may be a unique identifier for the province. The first attribute-allocated power generation amount may be a power generation amount output by a preset first power generation amount generation model. The preset first power generation model may be a power generation model in which a national production total value acceleration value of a preset year, annual power generation amounts of historical years and the national production total values are input, and annual power generation amounts of the preset year are output. The above-mentioned annual power generation amount may be one year power generation amount. The second distribution power information in the second distribution power information set may be total power information to be generated in a preset year corresponding to the province. The second distribution power information in the second distribution power information set may include, but is not limited to, at least one of: and the second attribute mark and the second attribute distribute the power generation amount. The second owner identifier may be a unique identifier for the province. The second attribute-based distributed power generation amount may be a power generation amount obtained by outputting a preset second power generation amount generation model. The preset second power generation amount generation model may be a power generation amount generation model in which a time series including the monthly power generation amounts of the months in the historical year is input and the monthly power generation amounts of the months in the preset year are output. The above monthly power generation may be one month power generation.

As an example, the preset first power generation amount generation model may be a power elastic coefficient model. The preset second power generation amount generation model may be a seasonal difference autoregressive moving average model.

Optionally, before acquiring the historical power information set, the first distribution power information set, and the second distribution power information set, the executing main body may further perform the following steps:

and generating a node information set for deploying each server based on a preset home information set. Each node information in the node information set comprises historical power information, first distribution power information, second distribution power information and an attribute speed increasing value. The above-mentioned historical electric power information may include an attribution month electric power generation amount time series and an attribution month electric power consumption time series. The attribute information in the preset attribute information set may include an initial attribute identification, initial history power information, and an attribute speed increase value. The initial home identifier may uniquely identify the province. The above-described initial history electric power information may be information of the amount of electric power generation and the amount of electric power usage of the corresponding province in each month in the history year. The initial historical power information may include an initial monthly power generation amount time series and an initial monthly power consumption time series. The initial monthly power generation amount time series may be a time series in which the monthly power generation amounts of the corresponding provinces in the historical year are arranged in chronological order. The initial monthly power consumption in the initial monthly power consumption time series may be a time series in which the monthly power consumptions of the corresponding provinces in the historical year are arranged in chronological order. The node information in the node information set may be server information associated with the corresponding province. The above-mentioned local acceleration value can be the acceleration value of the national production total value of the corresponding province in the preset year. The above-mentioned increase rate value may be a percentage of the increase rate. The above-mentioned time series of the belonged-to-ground monthly power generation amounts may be a time series in which the monthly power generation amounts in the historical years of the corresponding provinces are arranged in chronological order. The above-mentioned time series of the local monthly electricity consumptions may be a time series of the corresponding provinces in the historical years in which the monthly electricity consumptions are arranged in time sequence. For each of the attribute information in the preset attribute information set, the following steps may be performed:

first, an attribute node is generated based on an initial attribute identifier corresponding to the attribute information. Wherein, the above-mentioned home node can be used for characterizing provinces. The home node can be generated based on the initial home identifier corresponding to the home information through a preset distributed architecture.

As an example, the preset distributed architecture may include, but is not limited to, at least one of: spring Boot distributed architecture, dubbo distributed architecture, mapReduce programming architecture, etc.

And secondly, deploying the server matched with the home node to the home node in an associated manner through the preset distributed architecture. The matching with the home node may be that the province corresponding to the server is the same as the province represented by the home node.

Optionally, the node information corresponding to the home node may be generated as follows:

first, the server determines each initial monthly power generation amount in the initial monthly power generation amount time series corresponding to the attribute information as an attribute monthly power generation amount to obtain an attribute monthly power generation amount time series.

And secondly, determining each initial monthly electricity consumption in the initial monthly electricity consumption time series corresponding to the attribution information as the attribution monthly electricity consumption by the server to obtain the attribution monthly electricity consumption time series.

And thirdly, the server determines the time series of the generation amount of the belongings and the time series of the electricity consumption of the belongings as historical electricity information.

In the fourth step, the server may generate the first distribution power generation information based on the initial monthly power generation amount time series included in the attribute information. Specifically, the following steps can be performed:

the first substep is to group each initial monthly power generation amount in the initial monthly power generation amount time series included in the attribute information according to the corresponding year to obtain an initial monthly power generation amount group set. The initial monthly power generation amount group in the initial monthly power generation amount group set may be a set of the monthly power generation amounts corresponding to the same year.

And a second substep of determining, for each initial monthly power generation amount group in the initial monthly power generation amount group set, a sum of each initial monthly power generation amount in the initial monthly power generation amount group as an initial annual power generation amount to obtain an initial annual power generation amount set. The initial annual energy generation amount of the initial annual energy generation concentration may be an annual energy generation amount of a corresponding year.

And a third substep of arranging each initial annual energy production in the initial annual energy production set in a time sequence of the corresponding year to obtain an initial annual energy production time series. The time series of the initial annual energy production may be an ordered set of each initial annual energy production corresponding to the same province.

And a fourth substep of inputting the time series of the initial annual energy production, the above-mentioned property acceleration value and the first preset historical national production total value time series into a preset first energy production model to obtain first distribution energy production information. The first preset historical national production total value time series can be an ordered set in which the national production total values of each year corresponding to the same province are arranged according to the corresponding year sequence.

And fifthly, inputting the initial monthly power generation time sequence included by the attribution information into a preset second power generation model by the server to obtain a monthly power generation time sequence to be distributed. The time series of the monthly power generation amounts to be allocated can be an ordered set of each monthly power generation amount corresponding to the same province.

Sixthly, the server determines the sum of the monthly power generation amounts to be allocated in the monthly power generation amount time series to be allocated as second allocation power generation information.

Seventh, the server transmits the historical power information, the first distributed power information, the second distributed power information, and an attribute increasing rate value included in the attribute information to the attribute node.

And an eighth step of determining an attribute speed increase value included in the historical power information, the first distributed power information, the second distributed power information, and the attribute information as node information.

And 102, checking the first distributed power generation information set to obtain first recheck information.

In some embodiments, the executing entity may perform a verification process on the first distributed power generation information set to obtain first review information. The first review information may be used to indicate whether the first attribute distribution power generation amount included in each first distribution power generation information in the first distribution power generation information set is wrong. The first rechecking information may be the first power-generation-amount-error-free information or the first power-generation-amount-error information. The first power generation amount error-free information can be used for representing that the first attribute distribution power generation amount included in each first distribution power generation information in the first distribution power generation information set is error-free. The first power generation amount error information may be used to indicate that at least one first distributed power generation information in the first distributed power generation information set includes a first attribute distributed power generation amount error. The first distributed power generation information set can be verified through the following steps to obtain first rechecking information:

in the first step, a first historical power generation amount time series set is generated based on the historical power information set. The first historical power generation time-series in the first historical power generation time-series set may be a set of the respective historical annual power generation amounts of the corresponding provinces. For each historical power information in the set of historical power information, the following steps may be performed:

the first substep is to group the monthly generation amounts of the affiliated places in the monthly generation amount time series of the affiliated places included in the historical power information according to the corresponding year to obtain the monthly generation amount group set of the affiliated places. The local-month power generation amount group in the local-month power generation amount group set may be a set of monthly power generation amounts corresponding to the same year.

And a second substep of determining, for each of the local-month power generation amount groups, a sum of the local-month power generation amounts in the local-month power generation amount group as a first historical power generation amount to obtain a first historical power generation amount set. Wherein the first historical power generation amount in the first historical power generation amount set may be an annual power generation amount corresponding to a year.

And a third substep of arranging each first historical power generation amount in the first historical power generation amount set according to the time sequence of the corresponding year to obtain a first historical power generation amount time sequence. The first historical power generation time series can be an ordered set in which the first historical power generation time series corresponding to the same province are arranged according to the corresponding year sequence.

A second step of executing, for each of the first historical electric power generation amount time-series sets, the following steps:

and a first substep, inputting a preset attribute acceleration value corresponding to the first historical power generation time sequence, a first preset historical national production total value time sequence and the first historical power generation time sequence into a preset first power generation amount generation model to obtain first check power generation amount. The time-series correspondence between the first historical power generation amount may be such that the time-series correspondence between the first historical power generation amount, the predetermined attribute speed-up value, and the time-series correspondence between the first historical national production total value correspond to the same province. The predetermined location acceleration value may be an acceleration value corresponding to a total value of national production of the province in a predetermined year. The first preset historical national production total value in the first preset historical national production total value time series may be a national production total value of a corresponding province in different historical years. The first verification power generation amount may be an annual power generation amount corresponding to a preset year of the provincial.

A second substep of selecting a first distributed power generation information matching the first historical power generation amount time series from the first distributed power generation information set. The matching with the first historical power generation amount time series may be that the province corresponding to the first distribution power generation information is the same as the province corresponding to the first historical power generation amount time series.

And a third substep of determining whether the first verification power generation amount is equal to the first attribute power generation amount included in the selected first distribution power generation information.

A fourth substep of generating a first error free flag in response to determining that the first verification power generation amount is equal to the first attribute power generation amount included in the selected first distributed power generation information. Wherein, the first error-free identifier may be a number. For example, the first non-misidentification may be 1.

And a fifth substep of generating a first misidentification in response to determining that the first verified power generation amount is not equal to the first attribute power generation amount included in the selected first distributed power generation information. Wherein, the first misidentification may be a number. For example, the first misidentification may be 0.

And thirdly, determining the number of the generated first error-free identifications as a first target error-free value. The first target error-free value may be the number of the power generation amounts allocated to the respective non-faulty first attributes included in the first allocated power generation information.

And fourthly, determining the first power generation amount error-free information as first rechecking information in response to the fact that the first target error-free value meets a first preset error-free condition. The first predetermined error-free condition may be that the first target error-free value is equal to the number of the first attribute power generation amounts included in the first distribution power generation information.

And fifthly, determining the first power generation amount error information as first rechecking information in response to determining that the first target error-free value does not meet the first preset error-free condition.

Step 103, in response to the fact that the first rechecking information meets the first preset rechecking condition, performing verification processing on the second distribution power generation information set to obtain second rechecking information.

In some embodiments, the execution subject may perform, in response to determining that the first review information satisfies a first preset review condition, a verification process on the second distribution power information set to obtain second review information. The first predetermined rechecking condition may be that the first rechecking information is first power-generation-amount-error-free information. The second review information may be used to indicate whether the second attribute distribution power generation amount included in each second distribution power generation information set is incorrect. The second rechecking information may be the second power generation amount error-free information or the second power generation amount error information. The second power generation amount error-free information may be used to characterize the second attribute-based distribution power generation amount included in each second distribution power generation information set. The second power generation amount error information may be used to indicate that at least one second distributed power generation information set includes a second attribute distributed power generation amount error. The second rechecking information can be obtained by checking the second distribution power distribution information set through the following steps:

a first step of, for each historical power information in the above set of historical power information, performing the steps of:

the first substep is to input the attribute-based monthly power generation amount time series included in the historical power information into a preset second power generation amount generation model to obtain a second attribute-based monthly power generation amount time series. The second attribute month power generation amount time series may be an ordered set in which the second attribute month power generation amounts of the preset year are arranged in the corresponding month time order.

And a second substep of determining the sum of the respective second attribute-based monthly power generation amounts in the second attribute-based monthly power generation amount time series as a second correction power generation amount. The second corrected power generation amount may be a annual power generation amount of a corresponding provincial preset year.

And a third substep of selecting second distributed power generation information matching the property monthly power generation amount time series from the second distributed power generation information set. The matching with the time series of the generation amount of the belongingground month may be that the province corresponding to the second distribution generation information is the same as the province corresponding to the time series of the generation amount of the belongingground month.

A fourth substep of determining whether the second corrected power generation amount is equal to the second attribute power generation amount included in the selected second distributed power generation information.

A fifth substep of generating a second error-free identification in response to determining that the second corrected power generation amount is equal to a second attribute power generation amount included in the selected second distributed power generation information. Wherein, the second error-free identification can be a number. For example, the second error-free flag may be 1.

A sixth substep of generating a second misidentification in response to determining that the second check power generation amount is not equal to a second attribute power generation amount included in the selected second distribution power generation information. Wherein, the second misidentification may be a number. For example, the second misidentification may be 0.

And secondly, determining the number of the generated second error-free identifications as a second target error-free value. The second target error-free value may be the number of the second attribute distribution power generation amounts, which are included in the second distribution power generation information and are not in error, respectively.

And thirdly, determining the second generating capacity error-free information as second rechecking information in response to determining that the second target error-free value meets the second preset error-free condition. The second predetermined error-free condition may be that the second target error-free value is equal to the number of second attribute distributed power generation amounts included in the second distributed power generation information.

And fourthly, in response to the second target error-free value is determined not to meet the second preset error-free condition, determining the second generating capacity error information as second rechecking information.

And step 104, in response to the fact that the second rechecking information meets the second preset rechecking condition, generating a target historical power generation amount time sequence and a target historical power consumption amount time sequence based on the historical power information set.

In some embodiments, the execution subject may 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 various ways in response to determining that the second review information satisfies a second preset review condition. The second predetermined rechecking condition may be that the second rechecking information is second power generation amount error-free information. The target historical power generation amount in the above-described target historical power generation amount time series may be a total power generation amount of each province in the corresponding month. The target historical power consumption in the target historical power consumption time series may be a total power consumption of each province in a corresponding month.

In some optional implementations of some embodiments, the execution subject may 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. Specifically, the following steps can be performed:

the method comprises the following steps of firstly, executing the following steps for each target time in a preset target time group:

a first substep of selecting an attribute-month power generation amount corresponding to the target time from an attribute-month power generation amount time series included in each of the historical power information sets to obtain an attribute-month power generation amount group. The target time in the preset target time group may be a month included in the historical years. The time corresponding to the target time may be the same as the target time, and may be the time corresponding to the property month electric power generation amount included in the property month electric power generation amount time series. The above-described property month power generation amount group may be a set of the respective provincial month power generation amounts corresponding to the same time.

And a second substep of determining the sum of the individual property month electric power generation amounts in the property month electric power generation amount group as a target historical electric power generation amount. Wherein, the target historical power generation amount may be a total power generation amount of each province in a corresponding month.

And a third substep of selecting the home monthly electricity consumption corresponding to the target time from the home monthly electricity consumption time series included in each piece of historical electricity information in the historical electricity information set to obtain a home monthly electricity consumption group. The correspondence with the target time may be that the time corresponding to the local monthly electricity consumption included in the local monthly electricity consumption time series is the same as the target time. The local monthly electricity consumption group can be a set of the provincial monthly electricity consumptions corresponding to the same time.

And a fourth substep of determining the sum of the individual property monthly electricity consumptions in the property monthly electricity consumption group as the target historical electricity consumption. The target historical power consumption may be a total power consumption of each province in a corresponding month.

And secondly, sequencing each obtained target historical power generation amount to obtain a target historical power generation amount time sequence. And arranging each obtained target historical power generation amount according to the corresponding month sequence through a preset ordering algorithm to obtain a target historical power generation amount time sequence.

As an example, the preset ranking algorithm may include, but is not limited to, at least one of the following: hilr ordering, quicksort, and insertion ordering, among others.

And thirdly, sequencing each obtained target historical electricity consumption to obtain a target historical electricity consumption time sequence. And arranging each obtained target historical power consumption according to the corresponding month sequence by the preset ordering algorithm to obtain a target historical power consumption time sequence.

And 105, 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.

In some embodiments, the execution subject generates a first target distributed power generation amount based on the target historical power generation amount time series and a preset first power generation amount generation model. The first target distribution power generation amount may be an annual power generation amount of a preset region in a preset year, which is obtained by the first power generation amount generation model. The predetermined area may be a region consisting of provinces represented by respective home nodes. The first target distribution power generation amount can be generated based on the target historical power generation amount time series and a preset first power generation amount generation model through the following steps:

and step one, grouping each target historical power generation amount included in the target historical power generation amount time series according to corresponding years to obtain a target historical power generation amount group set. The target historical power generation amount group in the target historical power generation amount group set may be a set of power generation amounts for each month corresponding to the same year.

And secondly, determining the sum of all target historical power generation amounts in the target historical power generation amount group as a target annual power generation amount for each target historical power generation amount group in the target historical power generation amount group set to obtain a target annual power generation amount set. The target annual energy generation amount in the target annual energy generation amount set may be an annual energy generation amount corresponding to a year.

And thirdly, arranging each target annual energy generation in the target annual energy generation set according to the time sequence of the corresponding year to obtain a target annual energy generation time sequence. The target annual energy production time series can be an ordered set in which the target annual energy production of the same province is arranged according to the corresponding year sequence.

And fourthly, inputting the target annual generated energy time sequence, a preset target historical national production total value time sequence and a preset target acceleration value into the preset first generated energy generation model to obtain first target distributed generated energy. The preset target historical national production total value time series can be the national production total value of each year corresponding to the target annual energy production amount time series in the preset region. The preset target acceleration value may be an acceleration value of a national production total value of the preset region in a preset year.

And step 106, 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.

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

and firstly, inputting the target historical power generation amount time sequence into the preset second power generation amount generation model to obtain a target distribution power generation amount time sequence.

And secondly, inputting the target historical power consumption time series into the preset second power generation amount generation model to obtain a target distribution power consumption time series.

And 107, 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.

In some embodiments, the execution subject may generate the second target distributed power generation amount and the supply and demand matching information based on the target distributed power generation amount time series and the target distributed power consumption amount time series in various ways. The second target distributed power generation amount may be an annual power generation amount of the preset region in a preset year. The supply and demand matching information can be used for representing whether a balance relation exists between the annual generating capacity and the annual power consumption. The balance relationship may be that the percentage of the annual power consumption to the annual power generation amount in the same year is within a preset proportion range. For example, the predetermined ratio range may be [95%,105% ].

In some optional implementations of some embodiments, the executing subject may generate the second target distribution power generation amount and the supply and demand matching information based on the target distribution power generation amount time series and the target distribution power consumption amount time series by:

first, the sum of the respective target distributed power generations in the above-described target distributed power generation amount time series is determined as a second target distributed power generation amount.

And secondly, determining the sum of the target distribution power consumption in the target distribution power consumption time sequence as a second target distribution power consumption.

And thirdly, determining the percentage of the second target distribution power consumption in the second target distribution power generation amount as supply and demand matching information.

The above-mentioned supply and demand matching information generation step and its related content are an inventive point of the embodiment of the present disclosure, and solve the second technical problem mentioned in the background art that "when generating the power generation distribution information, the constraint relationship between the power consumption and the power generation amount is often easily ignored, thereby resulting in lower accuracy of the power generation distribution information and further resulting in excess or insufficient capacity. The problem that results in the low accuracy of the power generation distribution information is often as follows: when generating the power generation distribution information, the constraint relationship between the power consumption and the generated energy is often easily ignored, so that the accuracy of the power generation distribution information is low, and further, the excess or insufficient capacity is caused. If the above problems are solved, the effect of improving the accuracy of the power generation distribution information can be achieved. In order to achieve the effect, the constraint relation between the power consumption and the power generation amount is fully considered, first, a second target distribution power generation amount and a second target distribution power consumption amount are generated, then, the percentage of the second target distribution power consumption amount in the second target distribution power generation amount is determined as supply and demand matching information, and finally, the reasonability of the generated second target distribution power generation amount can be identified through the supply and demand matching information. If the percentage is within the preset range, it can be shown that the generated second target distribution generated energy is reasonable, and the supply and demand are balanced. If the percentage is below the preset range, it can be shown that the generated second target distribution power generation amount is unreasonable, and the risk of excess capacity exists. If the percentage is above the preset range, it can be said that the generated second target distribution power generation amount is unreasonable, and there is a risk of insufficient productivity. Therefore, the accuracy of the power generation distribution information can be improved, and the excess capacity or the insufficient capacity can be avoided.

And step 108, in response to determining that the supply and demand matching information meets the preset supply and demand matching condition, 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 some embodiments, the execution subject may generate the 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 various ways in response to determining that the supply and demand matching information satisfies a preset supply and demand matching condition. The preset supply and demand matching condition may be that the percentage corresponding to the supply and demand matching information is within the preset proportion range. The power generation distribution information may be information of power generation amount to be distributed for power generation in a preset year in the preset area.

In some optional implementations of some embodiments, each of the first distributed power generation information sets may include a first attribute distributed power generation amount, and each of the second distributed power generation information sets may include a second attribute distributed power generation amount. The execution agent may generate the 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 by:

in the first step, the sum of the first attribute distribution power generation amounts included in each of the first distribution power generation information sets is determined as a third target distribution power generation amount. Wherein the third target distributed power generation amount may be a sum of each province of a preset year and an annual power generation amount.

A second step of 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. The first preset power generation amount condition may be that the first target distributed power generation amount is equal to or greater than the third target distributed power generation amount. The first distribution reference value may be a power generation amount to be generated in a preset year corresponding to a preset area of the first power generation model.

And a third step of 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. The second preset power generation amount condition may be that the first target distributed power generation amount is smaller than the third target distributed power generation amount.

And fourthly, determining the sum of the second attribute distributed power generation amounts included in each second distributed power generation information set as a fourth target distributed power generation amount. Wherein the fourth target distribution power generation amount may be a total annual power generation amount of each province of a preset year.

And a fifth step of determining the second target distributed power generation amount as a second distributed reference value in response to a determination that the second target distributed power generation amount satisfies a third preset power generation amount condition. The third preset power generation amount condition may be that the second target distributed power generation amount is equal to or greater than the fourth target distributed power generation amount. The second distribution reference value may be an amount of power to be generated in a predetermined year corresponding to a predetermined area of the second power generation model.

And sixthly, determining the fourth target distribution power generation amount as a second distribution reference value in response to the fact that the second target distribution power generation amount meets a fourth preset power generation amount condition. The fourth preset power generation amount condition may be that the second target distributed power generation amount is smaller than the fourth target distributed power generation amount.

And a seventh step of generating power generation distribution information based on the first distribution reference value and the second distribution reference value. The execution body may generate the power generation distribution information based on the first distribution reference value and the second distribution reference value in various manners.

In some optional implementations of some embodiments, the executing body may generate the power generation allocation information based on the first allocation reference value and the second allocation reference value by:

in the first step, a difference between the first distribution reference value and the second distribution reference value is determined as a distribution error value. The distribution error value may be a difference between the amounts of power to be generated output by the two power generation amount generation models respectively in the preset region over the preset year.

And a second step of determining a preset region, a preset year and the first distribution reference value as power generation distribution information in response to determining that the distribution error value satisfies a first preset error condition. The first preset error condition may be that the distribution error value is not less than 0.

Optionally, the executing body may further perform the following steps:

in the first step, in response to the fact that the distribution error value meets a second preset error condition, a target attribute speed increasing value set is generated based on a second distribution power information set. The second predetermined error condition may be that the distribution error value is smaller than 0. The target-location acceleration value in the target-location acceleration value set may be an acceleration value corresponding to a national production total value of the province in a predetermined year. The following steps may be performed for each second distribution power information in the second distribution power information set:

a first substep of selecting a first historical power generation amount time series matching the second distributed power generation information from the first historical power generation amount time series set. The matching with the second distribution power generation information may be that the second distribution power generation information and the first historical power generation amount time series correspond to the same province.

And a second substep of inputting the first historical power generation amount time series, the second local distributed power generation amount included in the second distributed power generation information, and a second preset historical national production total value time series matched with the second distributed power generation information into the preset first power generation amount generation model to obtain a target local acceleration rate. The matching with the second distribution power generation information may be that the second distribution power generation information and the second preset historical national production total value time series correspond to the same province. It should be noted that, in the case that the power amount to be generated in the preset year, the power generation amount in each historical year, and the total value of national production are known, the preset first power generation amount generation model may also output the acceleration value of the total value of national production in the preset year.

And secondly, determining the attribute speed increasing value included in each node information in the node information set as an initial attribute speed increasing value to obtain an initial attribute speed increasing value set. The initial location speed increasing value with the concentrated initial location speed increasing values can be a planned speed increasing value corresponding to a national production total value of provinces in a preset year.

And thirdly, generating a first weight and a second weight based on the initial attribute acceleration value set and the target attribute acceleration value set. The first weight value can be the weight occupied by the national production total value acceleration in determining the electric quantity to be generated. The second weight may be a weight occupied by the annual energy production in the historical years in determining the amount of electricity to be produced. The first weight and the second weight can satisfy a preset weight 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 a sum of the first weight and the second weight may be 1. The first weight and the second weight may be generated based on the initial attribute acceleration value set and the target attribute acceleration value set by a preset weight determination method.

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

And fourthly, determining the product of the first distribution reference value and the first weight as a first distribution power generation decision value. The first distributed power generation amount decision value can be a decision value of a planned speed-up value of a national total production value of a preset year to the power generation amount. The decision value may be the amount of power generation.

And fifthly, determining the product of the second distribution reference value and the second weight as a second distribution power generation decision value. The second distributed power generation amount decision value may be a decision value of historical annual power generation amount to preset annual power generation amount.

And sixthly, determining the sum of the first distribution power generation amount decision value and the second distribution power generation amount decision value as a power generation amount distribution value. The power generation amount distribution value may be the amount of power to be generated distributed in a preset year.

And seventhly, determining the preset area, the preset year and the generated energy distribution value as power generation distribution information.

Optionally, the executing body may further execute the following steps:

the method comprises the following steps of firstly, executing the following steps for each target attribute identification in a preset target attribute identification group:

a first substep of selecting first distributed power information matching the target attribute identifier from the first distributed power information set. The target attribute identifier in the preset target attribute identifier group may be a unique identifier for the province. The matching with the target location identifier may be that the first distributed power information corresponds to the same province as the target location identifier.

And a second substep of selecting second distributed power information matching the destination identifier from the second distributed power information set. The matching with the target location identifier may be that the second distributed power generation information corresponds to the same province as the target location identifier.

A third substep of determining a difference between the first attribute distributed power generation amount included in the selected first distributed power generation information and the second attribute distributed power generation amount included in the selected second distributed power generation information as an attribute resource factor value. The attribute resource factor value may be a difference between the power generation amounts output by the two power generation amount generation models.

And a fourth substep, determining the target owner identifier and the owner resource factor value as the first owner resource requirement information in response to determining that the owner resource factor value satisfies a third preset error condition. The third predetermined error condition may be that the attribute resource factor value is greater than or equal to 0. The preset first property resource demand information may be information of newly increased power generation amount to be generated on the basis of ensuring the increase speed of the national production total value in the preset year.

And a fifth sub-step of determining the target attribute identifier and a preset attribute resource factor value as second attribute resource demand information in response to determining that the attribute resource factor value satisfies a fourth preset error condition. The fourth preset error condition may be that the attribute resource factor value is less than 0. The predetermined home resource factor value may be 0. The preset second property resource demand information may be information of newly increased power generation amount to be generated on the basis of power generation amount of each year in the historical year.

And secondly, determining each determined first attribution resource requirement information and each determined second attribution resource requirement information as target attribution resource requirement information to obtain a target attribution resource requirement information set. The target property resource demand information in the target property resource demand information set may be information of a new generated energy to be generated corresponding to the province in a preset year.

And thirdly, determining the sum of the attribute resource factor values corresponding to the target attribute resource demand information in the target attribute resource demand information set as a global newly added resource factor value. The global newly-added resource factor value may be a total power generation amount newly added in a preset year in a preset region.

Fourthly, executing the following steps for each target local resource demand information in the target local resource demand information set:

the first substep is to determine the percentage of the domain resource factor value corresponding to the target domain resource requirement information to the global newly added resource factor value as the domain newly added resource factor value. The attribute newly-added resource factor value can be used for representing the proportion of the electricity generation amount to be newly added in the corresponding province of the preset year to the total electricity generation amount to be newly added in the preset region.

And the second substep, determining the product of the preset newly-added person value and the attribute newly-added resource factor value as an attribute newly-added human resource allocation value. And the preset newly added person value corresponds to the power generation distribution information. The above-mentioned newly added manpower resource allocation value may be the number of newly added personnel required for the corresponding province to be newly added with the generated energy.

The generation steps and related contents of the new human resource allocation values of the attributes are taken as an invention point of the embodiment of the disclosure, and the technical problem that the third technical problem mentioned in the background art is solved, namely that when power generation work is carried out according to the power generation allocation information, more human resources required by the power generation work are often determined by a qualitative method, and more accurate quantitative data is not supported, so that the surplus or shortage of human resources in the power industry is easily caused. The problems of excess or insufficient human resources in the power industry are as follows: when power generation work is carried out according to the power generation distribution information, more manpower resources needed by the power generation work are often determined by adopting a qualitative method, and accurate quantitative data is not provided for supporting, so that surplus or shortage of manpower resources in the power industry is easily caused. If the problems are solved, the effect of reducing surplus or insufficient human resources in the power industry can be achieved. In order to achieve the effect, the method firstly generates the home resource factor value corresponding to each province, secondly generates the target home resource demand information corresponding to each province so as to participate in the human resource allocation, secondly determines the share of each province in the new human resource allocation by generating the home new resource factor value corresponding to each province, and finally obtains the home new human resource allocation value corresponding to each province according to the share of each province. Therefore, the generated attribute newly-added human resource allocation value can provide more accurate quantitative reference for determining the quantity of human resources required by power generation work when power generation work is carried out according to the power generation allocation information. Therefore, the phenomenon of surplus or shortage of human resources in the power industry can be reduced.

The above embodiments of the present disclosure have the following advantages: by the power generation distribution information generation method of some embodiments of the present disclosure, the accuracy of the power generation distribution information can be improved. Specifically, the reason why the accuracy of the power generation distribution information is low is that: the generated power generation result is often easy to be over-fit or under-fit only by depending on a single power generation algorithm, so that the accuracy of the power generation distribution information is low. Based on this, the power generation distribution information generation method of some embodiments of the present disclosure, first, acquires a historical power information set, a first distributed power information set, and a second distributed power information set. Therefore, the deviation of the distributed power generation of the preset area can be corrected conveniently through the distributed power generation of each province. Wherein the predetermined area corresponds to each province. And secondly, checking the first distributed power generation information set to obtain first rechecking information. And 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. And generating a target historical power generation time sequence and a target historical power consumption time sequence based on the historical power information set in response to the fact that the second rechecking information meets a second preset rechecking condition. Thus, the accuracy of the data source can be ensured by rechecking the first distributed power information set and the second distributed power information set. Therefore, an accurate target historical power generation time series and a target historical power consumption time series can be generated, and the planned power generation amount can be conveniently obtained through different power generation amount generation models subsequently to generate power generation distribution information. And then, 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. Therefore, the first target distribution power generation amount of the preset area affected by the economic acceleration can be obtained through the preset first power generation amount generation model, and the mutual rectification between the subsequent first target distribution power generation amount and the preset second power generation amount generation model is facilitated. And then, respectively inputting 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 to obtain a target distribution power generation amount time series and a target distribution power consumption amount time series. And 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. Therefore, a second target distribution power generation amount with the same trend with the power generation amount in the historical year can be obtained through a preset second power generation amount generation model, and the follow-up correction of the power generation amount and the first target distribution power generation amount is facilitated. And finally, 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 the fact that the supply and demand matching information meets the preset supply and demand matching condition. Therefore, the distributed power generation of the preset area can be corrected through the distributed power generation of each province, and the distributed power generation generated by the two power generation models can be mutually corrected, so that the accuracy of power generation distribution information can be improved. Therefore, according to the power generation distribution information generation method, the economic growth speed and the natural growth trend of the power generation over the years are comprehensively considered, the distributed power generation generated by the two different types of power generation models is corrected mutually, and the generated power generation result is prevented from being over-fitted or under-fitted, so that the accuracy of the power generation distribution information can be improved.

With further reference to fig. 2, as an implementation of the methods illustrated in the above figures, the present disclosure provides some embodiments of a power generation distribution information generation apparatus, which correspond to those of the method embodiments illustrated in fig. 1, and which may be applied in particular to various electronic devices.

As shown in fig. 2, the power generation distribution information device 200 of some embodiments includes: the verification device comprises an acquisition unit 201, a first verification unit 202, a second verification unit 203, a first generation unit 204, a second generation unit 205, an input unit 206, a third generation unit 207 and a fourth generation unit 208. Wherein the obtaining unit 201 is configured to obtain a historical power information set, a first distributed power generation information set, and a second distributed power generation information set; a first checking unit 202, configured to perform checking processing on the first distributed power generation information set to obtain first rechecking information; the second checking unit 203 is configured to perform checking processing on the second distribution power 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 generating unit 204 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; a second generation unit 205 configured to generate a first target distributed power generation amount based on the target historical power generation amount time series and a preset first power generation amount generation model; an input unit 206 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 generating unit 207 configured to generate a 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 generating unit 208 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.

It will be understood that the units described in the apparatus 200 correspond to the various steps in the method described with reference to fig. 1. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 200 and the units included therein, and are not described herein again.

With further reference to fig. 3, a schematic structural diagram of an electronic device 300 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

As shown in fig. 3, the electronic device 300 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 301 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage means 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data necessary for the operation of the electronic apparatus 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.

Generally, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 308 including, for example, magnetic tape, hard disk, etc.; and a communication device 309. The communication means 309 may allow the electronic device 300 to communicate wirelessly or by wire with other devices to exchange data. While fig. 3 illustrates an electronic device 300 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may be alternatively implemented or provided. Each block shown in fig. 3 may represent one device or may represent multiple devices, as desired.

In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through the communication device 309, or installed from the storage device 308, or installed from the ROM 302. The computer program, when executed by the processing apparatus 301, performs the above-described functions defined in the methods of some embodiments of the present disclosure.

It should be noted that the computer readable medium described above 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 electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (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.

The computer readable medium may be embodied in the apparatus described above; or may be separate and not incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: 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; generating a target historical power generation time sequence and a target historical power consumption time sequence based on the historical power information set in response to determining that the second rechecking information meets a second preset rechecking condition; generating a first target distribution power generation amount based on the target historical power generation amount time sequence and a preset first power generation amount generation model; inputting the target historical power generation time sequence and the target historical power consumption time sequence into a preset second power generation model respectively to obtain a target distribution power generation time sequence and a target distribution power consumption time sequence; 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; and 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 the fact that the supply and demand matching information meets a preset supply and demand matching condition.

Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming 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 the latter scenario, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

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 the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). 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 the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may 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, a third generation unit, and a fourth generation unit. Where the names of the units do not in some cases constitute a limitation on the units themselves, for example, the acquisition unit may also be described as a "unit that acquires the historical power information set, the first distributed power information set, and the second distributed power information set".

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), systems on a chip (SOCs), complex Programmable Logic Devices (CPLDs), and the like.

Some embodiments of the present disclosure also provide a computer program product comprising a computer program that, when executed by a processor, implements any of the power generation distribution information generation methods described above.

The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.

Claims

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.