CN112580928A - Method and device for evaluating reasonability of power consumption deviation range and terminal equipment - Google Patents
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Abstract
The invention provides a method and a device for evaluating the reasonability of a power consumption deviation range and terminal equipment, wherein the method comprises the following steps: acquiring a power consumption deviation range of the current year, and a user expected assessed ratio, an actual assessed ratio, a user expected assessment-free ratio and an actual assessment-free ratio corresponding to the power consumption deviation range; the target power consumption deviation range is a deviation range between the actual power consumption of the user and the contractually specified power consumption; determining a deviation range reasonableness index based on the user expected assessed ratio, the actual assessed ratio, the user expected assessment-free ratio and the actual assessment-free ratio; and evaluating the deviation range of the power consumption based on the deviation range reasonableness index. The method, the device and the terminal equipment for evaluating the reasonability of the deviation range of the power consumption realize the reasonability evaluation of the deviation range of the power consumption by introducing the ratio parameter.
Description
Technical Field
The invention belongs to the technical field of power consumption evaluation, and particularly relates to a method and a device for evaluating the reasonability of a power consumption deviation range and terminal equipment.
Background
In the field of electric power, when a user uses electricity, the actual electricity consumption often exceeds the contractually specified electricity consumption, at the moment, a deviation range of the electricity consumption is specified, when the user uses the electricity, the deviation range of the actual electricity consumption and the contractually specified electricity consumption is allowed to be within the deviation range of the electricity consumption, and at the moment, the rationality of the deviation range of the electricity consumption is particularly important.
In the prior art, a method for evaluating the reasonability of the deviation range of the power consumption is not provided.
Disclosure of Invention
The invention aims to provide a method and a device for evaluating the reasonability of a power consumption deviation range and terminal equipment, so as to realize evaluation of the power consumption deviation range.
In a first aspect of the embodiments of the present invention, a method for evaluating the reasonableness of a deviation range of power consumption is provided, including:
acquiring a power consumption deviation range of the current year, and a user expected assessed ratio, an actual assessed ratio, a user expected assessment-free ratio and an actual assessment-free ratio corresponding to the power consumption deviation range; the target power consumption deviation range is a deviation range between the actual power consumption of the user and the contractually specified power consumption;
determining a deviation range reasonableness index based on the user expected assessed ratio, the actual assessed ratio, the user expected assessment-free ratio and the actual assessment-free ratio;
and evaluating the deviation range of the power consumption based on the deviation range reasonableness index.
In a second aspect of the embodiments of the present invention, there is provided a device for evaluating the degree of rationality of a deviation range of a power consumption, including:
the data acquisition module is used for acquiring a power consumption deviation range of the current year, and a user expectation assessed ratio, an actual assessed ratio, a user expectation assessment-free ratio and an actual assessment-free ratio which correspond to the power consumption deviation range; the target power consumption deviation range is a deviation range between the actual power consumption of the user and the contractually specified power consumption;
the index determining module is used for determining a deviation range reasonableness index based on the user expected assessed ratio, the actual assessed ratio, the user expected assessment-free ratio and the actual assessment-free ratio;
and the range evaluation module is used for evaluating the deviation range of the power consumption based on the deviation range reasonableness index.
In a third aspect of the embodiments of the present invention, there is provided a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method for evaluating the degree of rationality of the deviation range of the power consumption when executing the computer program.
In a fourth aspect of the embodiments of the present invention, a computer-readable storage medium is provided, in which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the above-described method for evaluating the degree of rationality of the deviation range of the power consumption.
The method, the device and the terminal equipment for evaluating the reasonability of the power consumption deviation range have the advantages that:
the invention provides a method for evaluating the reasonability of a power consumption deviation range, namely, a deviation range reasonability index is determined based on a user expected assessed ratio, an actual assessed ratio, a user expected assessment-free ratio and an actual assessment-free ratio, and then the power consumption deviation range is evaluated based on the deviation range reasonability index. According to the invention, the reasonableness evaluation of the deviation range of the power consumption is realized by introducing parameters such as the expected assessed ratio of the user, the actual assessed ratio, the expected assessment-free ratio of the user, the actual assessment-free ratio and the like.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for evaluating the degree of rationality of a deviation range of power consumption according to an embodiment of the present invention;
fig. 2 is a block diagram of a structure of a device for evaluating the degree of rationality of a deviation range of power consumption according to an embodiment of the present invention;
fig. 3 is a schematic block diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for evaluating the reasonableness of a deviation range of power consumption according to an embodiment of the present invention, where the method includes:
s101: and acquiring the power consumption deviation range of the current year, and the user expected assessed ratio, the actual assessed ratio, the user expected assessment-free ratio and the actual assessment-free ratio corresponding to the power consumption deviation range.
In this embodiment, the target power consumption deviation range is a deviation range between an actual power consumption of a user and a contractually specified power consumption, the expected assessed ratio of the user is a ratio of an assessed power amount expected by the user to the contractually specified power consumption, the actual assessed ratio is a ratio of an actually assessed power amount of the user to the contractually specified power consumption, the expected non-examination ratio of the user is a ratio of an expected non-examination power amount of the user to the contractually specified power consumption, and the actual non-examination ratio is a ratio of an actually non-examination power amount of the user to the contractually specified power consumption.
S102: and determining the reasonable degree index of the deviation range based on the user expected assessed ratio, the actual assessed ratio, the user expected assessment-free ratio and the actual assessment-free ratio.
S103: and evaluating the deviation range of the power consumption based on the deviation range reasonableness index.
The method for evaluating the reasonability of the deviation range of the power consumption is provided, namely, the reasonability index of the deviation range is determined based on the expected assessed ratio, the actual assessed ratio, the expected assessment-free ratio and the actual assessment-free ratio of the user, and then the deviation range of the power consumption is evaluated based on the reasonability index of the deviation range. According to the invention, the reasonableness evaluation of the deviation range of the power consumption is realized by introducing parameters such as the expected assessed ratio of the user, the actual assessed ratio, the expected assessment-free ratio of the user, the actual assessment-free ratio and the like.
Optionally, as a specific implementation manner of the method for evaluating the reasonableness of the deviation range of the power consumption provided by the embodiment of the present invention, determining the reasonableness index of the deviation range based on the user expected assessed ratio, the actual assessed ratio, the user expected assessment-free ratio, and the actual assessment-free ratio includes:
c＝p*(d÷a)+(1-p)*(e÷b)
wherein c is a deviation range reasonableness index, p is a user weight in the current year, and a, d, b and e are a user expected assessed ratio, an actual assessed ratio, a user expected assessment-free ratio and an actual assessment-free ratio respectively.
Optionally, as a specific implementation manner of the method for evaluating the degree of rationality of the deviation range of the power consumption provided in the embodiment of the present invention, the method for determining the user weight is as follows:
and acquiring the proportion of different user groups in the current year.
And inputting the proportion of different user groups in the current year into a preset decision model to obtain the user weight in the current year.
In the present embodiment, the expected values of different user groups are different, and therefore the user weight can be determined based on the proportions of the different user groups.
Optionally, as a specific implementation manner of the method for evaluating the degree of rationality of the deviation range of the power consumption provided in the embodiment of the present invention, the method for establishing the preset decision model is as follows:
and acquiring the proportion of different user groups in the historical years and the user weight in each historical year.
And training the convolutional neural network model based on the proportion of different user groups in the historical years and the user weight in each historical year to obtain a preset decision model.
Optionally, as a specific implementation manner of the method for evaluating the degree of rationality of the deviation range of the power consumption provided in the embodiment of the present invention, the method for establishing the preset decision model is as follows:
and acquiring the proportion of different user groups in the historical years and the user weight in each historical year.
And performing linear fitting on the proportion of different user groups in the historical years and the user weight in each historical year to obtain a preset decision model.
Optionally, as a specific implementation manner of the method for evaluating the reasonableness of the deviation range of the power consumption provided by the embodiment of the present invention, the method includes that the reasonableness index of the deviation range is c, the deviation range of the power consumption is ± x, and the method evaluates the deviation range of the power consumption based on the reasonableness index of the deviation range, and includes:
and if x is smaller than c, determining that the deviation range of the used electricity quantity is reasonable.
And if x is not less than c, determining that the deviation range of the power consumption is unreasonable.
Fig. 2 is a block diagram of a device for evaluating the degree of reasonableness of a deviation range of power consumption according to an embodiment of the present invention. For convenience of explanation, only portions related to the embodiments of the present invention are shown. Referring to fig. 2, the electricity consumption deviation range rationality evaluating device 20 includes: a data acquisition module 21, an index determination module 22 and a range evaluation module 23.
The data obtaining module 21 is configured to obtain a power consumption deviation range of the current year, and a user expectation assessed ratio, an actual assessed ratio, a user expectation assessment-free ratio, and an actual assessment-free ratio corresponding to the power consumption deviation range. The target electricity consumption deviation range is a deviation range between the actual electricity consumption of the user and the contractually specified electricity consumption.
And the index determining module 22 is used for determining the reasonable degree index of the deviation range based on the user expected assessed ratio, the actual assessed ratio, the user expected non-assessed ratio and the actual non-examined ratio.
And the range evaluation module 23 is configured to evaluate the deviation range of the power consumption based on the deviation range reasonableness index.
Optionally, as a specific implementation manner of the apparatus for evaluating the degree of rationality of the deviation range of the power consumption provided in the embodiment of the present invention, the method for determining the user weight includes:
and acquiring the proportion of different user groups in the current year.
And inputting the proportion of different user groups in the current year into a preset decision model to obtain the user weight in the current year.
Optionally, as a specific implementation manner of the apparatus for evaluating the degree of rationality of the deviation range of the power consumption provided in the embodiment of the present invention, the apparatus 20 for evaluating the degree of rationality of the deviation range of the power consumption further includes a model building module 24.
The model building module 24 is configured to obtain proportions of different user groups in historical years and user weights in each historical year.
And training the convolutional neural network model based on the proportion of different user groups in the historical years and the user weight in each historical year to obtain a preset decision model. Or linear fitting is carried out on the proportion of different user groups in the historical years and the user weight in each historical year to obtain a preset decision model.
Optionally, as a specific implementation manner of the apparatus for evaluating the reasonableness of the deviation range of the power consumption provided by the embodiment of the present invention, the determining the reasonableness index of the deviation range based on the user expected assessed ratio, the actual assessed ratio, the user expected assessment-free ratio, and the actual assessment-free ratio includes:
c＝p*(d÷a)+(1-p)*(e÷b)
wherein c is a deviation range reasonableness index, p is a user weight in the current year, and a, d, b and e are a user expected assessed ratio, an actual assessed ratio, a user expected assessment-free ratio and an actual assessment-free ratio respectively.
Optionally, as a specific implementation manner of the apparatus for evaluating the rationality of the deviation range of the power consumption provided in the embodiment of the present invention, the criterion of the deviation range rationality is c, the deviation range of the power consumption is ± x, and the evaluating of the deviation range of the power consumption based on the criterion of the deviation range rationality includes:
and if x is smaller than c, determining that the deviation range of the used electricity quantity is reasonable.
And if x is not less than c, determining that the deviation range of the power consumption is unreasonable.
Referring to fig. 3, fig. 3 is a schematic block diagram of a terminal device according to an embodiment of the present invention. The terminal 300 in the present embodiment as shown in fig. 3 may include: one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The processor 301, the input device 302, the output device 303 and the memory 304 are all in communication with each other via a communication bus 305. The memory 304 is used to store a computer program comprising program instructions. Processor 301 is operative to execute program instructions stored in memory 304. Wherein the processor 301 is configured to call program instructions to perform the following functions for operating the modules/units in the above-described device embodiments, such as the functions of the modules 21 to 24 shown in fig. 2.
It should be understood that, in the embodiment of the present invention, the Processor 301 may be a Central Processing Unit (CPU), and the Processor may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The input device 302 may include a touch pad, a fingerprint sensor (for collecting fingerprint information of a user and direction information of the fingerprint), a microphone, etc., and the output device 303 may include a display (LCD, etc.), a speaker, etc.
The memory 304 may include a read-only memory and a random access memory, and provides instructions and data to the processor 301. A portion of the memory 304 may also include non-volatile random access memory. For example, the memory 304 may also store device type information.
In a specific implementation, the processor 301, the input device 302, and the output device 303 described in this embodiment of the present invention may execute the implementation manners described in the first embodiment and the second embodiment of the method for evaluating the degree of reasonableness of the deviation range of power consumption provided in this embodiment of the present invention, and may also execute the implementation manners of the terminal described in this embodiment of the present invention, which is not described herein again.
In another embodiment of the present invention, a computer-readable storage medium is provided, in which a computer program is stored, where the computer program includes program instructions, and the program instructions, when executed by a processor, implement all or part of the processes in the method of the above embodiments, and may also be implemented by a computer program instructing associated hardware, and the computer program may be stored in a computer-readable storage medium, and the computer program, when executed by a processor, may implement the steps of the above methods embodiments. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like. It should be noted that the computer readable medium may include any suitable increase or decrease as required by legislation and patent practice in the jurisdiction, for example, in some jurisdictions, computer readable media may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The computer readable storage medium may be an internal storage unit of the terminal of any of the foregoing embodiments, for example, a hard disk or a memory of the terminal. The computer readable storage medium may also be an external storage device of the terminal, such as a plug-in hard disk provided on the terminal, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the computer-readable storage medium may also include both an internal storage unit and an external storage device of the terminal. The computer-readable storage medium is used for storing a computer program and other programs and data required by the terminal. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the terminal and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed terminal and method can be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces or units, and may also be an electrical, mechanical or other form of connection.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
While the invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A method for evaluating the reasonableness of a deviation range of power consumption is characterized by comprising the following steps:
acquiring a power consumption deviation range of the current year, and a user expected assessed ratio, an actual assessed ratio, a user expected assessment-free ratio and an actual assessment-free ratio corresponding to the power consumption deviation range; the target power consumption deviation range is a deviation range between the actual power consumption of the user and the contractually specified power consumption;
determining a deviation range reasonableness index based on the user expected assessed ratio, the actual assessed ratio, the user expected assessment-free ratio and the actual assessment-free ratio;
and evaluating the deviation range of the power consumption based on the deviation range reasonableness index.
2. The method for evaluating the reasonableness of the deviation range of power consumption according to claim 1, wherein the determining of the reasonableness index of the deviation range based on the user desired assessed ratio, the actual assessed ratio, the user desired assessment-free ratio and the actual assessment-free ratio comprises:
c＝p*(d÷a)+(1-p)*(e÷b)
wherein c is a deviation range reasonableness index, p is a user weight in the current year, and a, d, b and e are a user expected assessed ratio, an actual assessed ratio, a user expected assessment-free ratio and an actual assessment-free ratio respectively.
3. The method for evaluating the reasonableness of the deviation range of the power consumption according to claim 2, characterized in that the method for determining the user weight is as follows:
acquiring the proportion of different user groups in the current year;
and inputting the proportion of different user groups in the current year into a preset decision model to obtain the user weight in the current year.
4. The method for evaluating the reasonableness of the deviation range of the power consumption according to claim 3, characterized in that the method for establishing the preset decision model comprises the following steps:
acquiring the proportion of different user groups in historical years and the user weight in each historical year;
and training the convolutional neural network model based on the proportion of different user groups in the historical years and the user weight in each historical year to obtain a preset decision model.
5. The method for evaluating the reasonableness of the deviation range of the power consumption according to claim 3, characterized in that the method for establishing the preset decision model comprises the following steps:
acquiring the proportion of different user groups in historical years and the user weight in each historical year;
and performing linear fitting on the proportion of different user groups in the historical years and the user weight in each historical year to obtain a preset decision model.
6. The method for evaluating the reasonableness of a deviation range of a power consumption according to claim 1, wherein the deviation range reasonableness index is c, the deviation range of the power consumption is ± x, and the evaluating the deviation range of the power consumption based on the deviation range reasonableness index includes:
if x is smaller than c, determining that the deviation range of the power consumption is reasonable;
and if x is not less than c, determining that the deviation range of the power consumption is unreasonable.
7. A device for evaluating the degree of reasonableness of a deviation range of a used amount of electricity, comprising:
the data acquisition module is used for acquiring a power consumption deviation range of the current year, and a user expectation assessed ratio, an actual assessed ratio, a user expectation assessment-free ratio and an actual assessment-free ratio which correspond to the power consumption deviation range; the target power consumption deviation range is a deviation range between the actual power consumption of the user and the contractually specified power consumption;
the index determining module is used for determining a deviation range reasonableness index based on the user expected assessed ratio, the actual assessed ratio, the user expected assessment-free ratio and the actual assessment-free ratio;
and the range evaluation module is used for evaluating the deviation range of the power consumption based on the deviation range reasonableness index.
8. The apparatus for evaluating the reasonableness of a deviation range of a power consumption of claim 7, further comprising a model building module;
the model building module is used for obtaining the proportion of different user groups under the historical years and the user weight under each historical year;
training a convolutional neural network model based on the proportion of different user groups in historical years and the user weight in each historical year to obtain a preset decision model; or linear fitting is carried out on the proportion of different user groups in the historical years and the user weight in each historical year to obtain a preset decision model.
9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101726678A (en) * | 2008-10-30 | 2010-06-09 | 华北电力科学研究院有限责任公司 | Electricity quality evaluation system and method |
| CN105046591A (en) * | 2015-08-24 | 2015-11-11 | 许继集团有限公司 | Method for evaluating electricity utilization energy efficiency of power consumer |
| CN109636174A (en) * | 2018-12-06 | 2019-04-16 | 广东电力交易中心有限责任公司 | Multiple timings marketing methods of risk assessment, device and equipment |
| CN110659772A (en) * | 2019-09-14 | 2020-01-07 | 安徽电力交易中心有限公司 | Optimal operation strategy determination method of power selling company under piecewise linear deviation electric quantity assessment mechanism |
| CN110826886A (en) * | 2019-10-29 | 2020-02-21 | 南京华盾电力信息安全测评有限公司 | Electric power customer portrait construction method based on clustering algorithm and principal component analysis |
| CN110909910A (en) * | 2019-09-18 | 2020-03-24 | 浙江大学 | Novel deviation electric quantity checking mechanism optimization design method based on PBR |
| CN111080138A (en) * | 2019-12-19 | 2020-04-28 | 大连理工大学 | Electric power transaction risk management system and method for electricity selling company |
| CN111080011A (en) * | 2019-12-16 | 2020-04-28 | 清华四川能源互联网研究院 | Load electric quantity deviation prediction method and device |
-
2020
- 2020-11-19 CN CN202011306089.6A patent/CN112580928A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101726678A (en) * | 2008-10-30 | 2010-06-09 | 华北电力科学研究院有限责任公司 | Electricity quality evaluation system and method |
| CN105046591A (en) * | 2015-08-24 | 2015-11-11 | 许继集团有限公司 | Method for evaluating electricity utilization energy efficiency of power consumer |
| CN109636174A (en) * | 2018-12-06 | 2019-04-16 | 广东电力交易中心有限责任公司 | Multiple timings marketing methods of risk assessment, device and equipment |
| CN110659772A (en) * | 2019-09-14 | 2020-01-07 | 安徽电力交易中心有限公司 | Optimal operation strategy determination method of power selling company under piecewise linear deviation electric quantity assessment mechanism |
| CN110909910A (en) * | 2019-09-18 | 2020-03-24 | 浙江大学 | Novel deviation electric quantity checking mechanism optimization design method based on PBR |
| CN110826886A (en) * | 2019-10-29 | 2020-02-21 | 南京华盾电力信息安全测评有限公司 | Electric power customer portrait construction method based on clustering algorithm and principal component analysis |
| CN111080011A (en) * | 2019-12-16 | 2020-04-28 | 清华四川能源互联网研究院 | Load electric quantity deviation prediction method and device |
| CN111080138A (en) * | 2019-12-19 | 2020-04-28 | 大连理工大学 | Electric power transaction risk management system and method for electricity selling company |
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