CN111199339A - User energy saving determination method and device - Google Patents

User energy saving determination method and device Download PDF

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Publication number
CN111199339A
CN111199339A CN201911314754.3A CN201911314754A CN111199339A CN 111199339 A CN111199339 A CN 111199339A CN 201911314754 A CN201911314754 A CN 201911314754A CN 111199339 A CN111199339 A CN 111199339A
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energy consumption
determined
user
period
energy
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韩凝晖
田世明
卜凡鹏
潘明明
李德智
栾开宁
杨世海
潘雨晴
曹晓冬
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
State Grid Jiangsu Electric Power Co Ltd
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
State Grid Jiangsu Electric Power Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • G06Q10/06375—Prediction of business process outcome or impact based on a proposed change
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply

Abstract

The invention relates to a method and a device for determining energy saving of a user, comprising the following steps: determining the calibration energy consumption of the time period to be determined by the user according to the energy consumption influence factors of the time period to be determined when the user takes energy-saving measures; determining the energy saving amount of the time period to be determined by the user according to the calibration energy consumption of the time period to be determined by the user; the method obtains the calibration energy consumption through the pre-acquired energy consumption influence factors, further determines the energy saving amount, has wide application range, improves the accuracy of the result, and can provide guidance for the improvement of subsequent energy saving measures.

Description

User energy saving determination method and device
Technical Field
The invention relates to the technical field of energy conservation, in particular to a method and a device for determining energy conservation of a user.
Background
At present, the power development direction develops towards the direction of cleanness, low carbon, safety and high efficiency. The three-type two-network concept is provided, and the importance of the demand side participating in the power grid interaction is improved to a new height. For household residents, friendly interaction with a power grid is an effective way for improving energy efficiency and realizing energy conservation and consumption reduction. At present, a demand response system for household residents is being constructed, and a targeted demand response capability and effect evaluation method is lacked. Therefore, research on energy efficiency evaluation and energy consumption measurement and calculation methods for household residential users is urgently needed. Through the analysis of the household energy consumption of residents and the calculation of the energy saving amount, the household energy consumption condition of residents is analyzed, the demand response potential is mined, and the demand response implementation effect is evaluated. The accurate calculation of the comprehensive energy consumption information of the family can be realized through practical application, and the effect of subsequent user participation demand response is accurately evaluated.
For the comprehensive energy consumption measurement and calculation, in published GB/T2589-2008 general rule for comprehensive energy consumption calculation, comprehensive energy consumption is defined as various energy substance amounts actually consumed by energy consumption units in a statistical report period, and the various energy substance amounts are respectively converted and summed according to a specified calculation method and unit. Comprehensive energy consumption:
Figure BDA0002325544570000011
in the formula: e, comprehensive energy consumption; n-the number of energy products consumed; e.g. of the typei-the amount of the ith energy entity consumed in the production and service activities; p is a radical ofiThe conversion coefficient of the ith energy source is converted according to the equivalent value of the energy or the value of the energy source and the like. Letters in this paragraph, if repeated with other letters herein, have their corresponding meaning.
For the evaluation of energy saving effect, international energy saving effect measurement and certification procedures (IPMVP) are generally adopted internationally, and the procedures stipulate:
energy saving is the reference annual energy consumption-modified energy consumption + adjustment
GB/T28750-2012 general rules on energy saving quantity measurement and verification specifies related definitions, calculation principles, methods, contents, technical requirements, measurement and verification schemes and the like of energy saving quantity measurement, and GB/T32045-2015 implementation guidelines on energy saving quantity measurement and verification specifies specific implementation steps, technical points and the like of energy saving quantity measurement and verification. According to the regulation, the energy saving measurement firstly determines a basic period and a statistical report period, the statistical report period energy consumption under the same condition is calculated through related influence factors according to the basic period energy consumption, the statistical report period energy consumption is used as calibration energy consumption, and the calibration energy consumption is compared with the actually measured statistical report period energy consumption to calculate the energy saving. The energy consumption of the base period, the energy consumption of the statistical report period, the energy consumption of the calibration and other relevant parameters are as follows:
a basal period: the time period before the energy-saving measures are implemented is used for comparing and determining the project energy-saving;
and (3) counting a report period: the time period after the energy-saving measures are implemented is used for comparing and determining the project energy-saving;
energy consumption in the basic period: energy consumption of energy consumption units, equipment and systems in project boundaries in the base period;
counting energy consumption in a report period: counting the energy consumption of energy consumption units, equipment and systems in project boundaries in a report period;
calibrating energy consumption: and in the statistical report period, the energy consumption of the energy consumption unit, equipment and system in the project boundary when the energy-saving measure is not adopted is calculated according to the energy consumption state of the base period and the condition of the statistical report period.
In the method, the comprehensive energy consumption of the base period is taken as the energy consumption of the statistical period without adopting energy-saving measures, and the energy consumption difference caused by the time difference between the base period and the statistical period is adjusted through the adjustment quantity, so that a larger error exists and the error is not consistent with the actual error; because the basic period and the statistical period have time difference, the energy consumption amount is different due to different use habits of users at different times; in addition, in the prior art, the calculation of other comprehensive energy consumption is mainly performed on energy consumption measurement and calculation and energy-saving effect evaluation aiming at industrial and commercial users, particularly large public buildings, but a measurement and calculation method and related software aiming at the comprehensive energy consumption of household residents are lacked, and the application range is not wide. With the continuous improvement of living conditions of residents in China, household electrical equipment of residents is greatly enriched, and the comprehensive energy consumption level of the residents is continuously improved. Therefore, the importance of providing a new method for measuring and calculating the energy consumption of the household residents is increasingly highlighted.
Therefore, there is a need in the art for a method for determining energy saving with a wide application range and high accuracy.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a user energy saving amount determining method and device, which are used for determining energy saving amount by obtaining calibration energy consumption through pre-obtained energy consumption influence factors, have wide application range, are not limited to commercial users and improve the accuracy of results.
The purpose of the invention is realized by adopting the following technical scheme:
the invention provides a user energy saving determination method, which is improved in that the method comprises the following steps:
determining the calibration energy consumption of the time period to be determined by the user according to the energy consumption influence factors of the time period to be determined when the user takes energy-saving measures;
and determining the energy saving amount of the time period to be determined by the user according to the calibration energy consumption of the time period to be determined by the user.
Preferably, the energy consumption influencing factors include: average income, population and electricity consumption.
Further, the determining the calibration energy consumption of the user in the period to be determined according to the energy consumption influence factors of the period to be determined in which the user takes energy-saving measures includes:
acquiring standard values of energy consumption influence factors of a user in a period to be determined;
substituting the standard value of the energy consumption influence factor of the user in the period to be determined into a pre-obtained LASSO regression model, and taking the output value of the model as the standard value of the calibrated energy consumption of the user in the period to be determined;
and determining the calibration energy consumption of the period to be determined by the user according to the standard value of the calibration energy consumption of the period to be determined by the user.
Further, the obtaining of the standard value of the energy consumption influence factor of the user in the period to be determined includes:
determining the standard value X of the ith energy consumption influence factor of the time period to be determined by the user according to the following formulai：
Figure BDA0002325544570000031
In the formula, xiFor the actual value, x, of the ith energy consumption influencing factor of the time period to be determinedi,minIs the minimum value of the ith energy consumption influencing factor, xi,maxIs the maximum value of the ith energy consumption influencing factor.
Further, the determining the standard value of the calibrated energy consumption in the period to be determined by the user according to the standard value of the energy consumption influencing factor in the period to be determined by the user includes:
determining a standard value Y of the calibration energy consumption of the period to be determined by the user according to the following formulaz：
Figure BDA0002325544570000032
In the formula, XiStandard values for the ith energy consumption influencing factor for the period to be determined by the user, βiIs the correction coefficient of the standard value of the ith energy consumption influence factor, e is a constant, i belongs to [1, N ∈]And N is the total number of the energy consumption influence factors.
Further, the correction coefficient and the constant of the standard value of each energy consumption influence factor are obtained according to the following method:
and fitting the standard value of the energy consumption influence factor of the historical time period which is not subjected to energy-saving measures by the user and is in the same period as the time period to be determined and the standard value of the comprehensive energy consumption by using an LASSO regression algorithm to obtain the correction coefficient and the constant of the standard value of each energy consumption influence factor.
Further, the standard value Y' of the integrated energy consumption of the user history period is determined according to the following formula:
Figure BDA0002325544570000033
wherein y 'is the comprehensive energy consumption of the user historical period, y'maxIs the maximum value of the comprehensive energy consumption, y'minIs the minimum value of comprehensive energy consumption.
Further, the determining the calibration energy consumption of the user in the period to be determined according to the standard value of the calibration energy consumption of the user in the period to be determined includes:
determining the calibration energy consumption y of the period to be determined by the user according to the following formulaz：
yz＝Yz(ymax-ymin)+ymin
In the formula, yminMinimum value of the overall energy consumption, y, of the period to be determined for the usermaxMaximum value of the combined energy consumption, Y, for a period of time to be determined for a userzAnd calibrating the standard value of the energy consumption for the period to be determined for the user.
Preferably, the determining the energy saving amount of the user to-be-determined time period according to the calibrated energy consumption of the user to-be-determined time period includes:
the energy saving amount delta y of the time period to be determined by the user is determined according to the following formula:
Δy＝yz-y
wherein y is the comprehensive energy consumption of the period to be determined by the user, and yzThe calibrated energy consumption for the period to be determined is the user.
Based on the same inventive concept, the present invention also provides a user energy saving determination apparatus, the improvement wherein the apparatus comprises:
the first determining unit is used for determining the calibration energy consumption of the time period to be determined by the user according to the energy consumption influence factors of the time period to be determined when the user takes energy-saving measures;
and the second determining unit is used for determining the energy saving amount of the time period to be determined by the user according to the calibration energy consumption of the time period to be determined by the user.
Compared with the closest prior art, the invention has the following beneficial effects:
the invention provides a method and a device for determining energy saving amount of a user, which are used for determining the calibration energy consumption of the time period to be determined of the user according to energy consumption influence factors of the time period to be determined when the user takes energy saving measures; determining the energy saving amount of the time period to be determined by the user according to the calibration energy consumption of the time period to be determined by the user; according to the method, the energy saving amount is determined by obtaining the calibrated energy consumption under the same scale through the pre-obtained energy consumption influence factors, the method is wide in application range and not limited to commercial users, the accuracy of the result is improved, and guidance can be provided for improvement of subsequent energy saving measures.
Drawings
FIG. 1 is a flow chart of a user energy savings determination method of the present invention;
fig. 2 is a schematic diagram of the user energy saving amount determining apparatus of the present invention.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a user energy saving determination method, as shown in fig. 1, the method includes:
determining the calibration energy consumption of the time period to be determined by the user according to the energy consumption influence factors of the time period to be determined when the user takes energy-saving measures;
and determining the energy saving amount of the time period to be determined by the user according to the calibration energy consumption of the time period to be determined by the user.
In order to more clearly illustrate the objects of the present invention, the process of the present invention is described below with reference to specific examples.
In the embodiment of the invention, in order to improve the accuracy of prediction, two factors with the maximum correlation are selected from candidate energy consumption influence factors as the energy consumption influence factors through a calculation method of a correlation coefficient r of the following formula:
Figure BDA0002325544570000051
in the formula, XmRepresenting the energy consumption influencing factor of the mth candidate,
Figure BDA0002325544570000052
historical mean of energy consumption influencing factors, Y, for the mth candidatemThe energy consumption influencing factor corresponding to the mth candidate is the comprehensive energy consumption of the period,
Figure BDA0002325544570000053
and M is the total number of candidate energy consumption influence factors for synthesizing the historical average value of the energy consumption. Wherein the variation range of the correlation coefficient r is-1 to 1. A coefficient value of 1 means that X and Y can be well described by a straight line equation, all data points well fall on a straight line, and Y increases with increasing X. A coefficient value of-1 means that all data points fall on a straight line and Y decreases as X increases. A coefficient value of 0 means that there is no linear relationship between the two variables.
In an embodiment of the present invention, the energy consumption influencing factors obtained by the correlation coefficients include: average income, population and electricity consumption.
Specifically, the determining the calibration energy consumption of the user in the period to be determined according to the energy consumption influence factors of the period to be determined in which the user takes the energy saving measures includes:
acquiring standard values of energy consumption influence factors of a user in a period to be determined;
substituting the standard value of the energy consumption influence factor of the user in the period to be determined into a pre-obtained LASSO regression model, and taking the output value of the model as the standard value of the calibrated energy consumption of the user in the period to be determined;
and determining the calibration energy consumption of the period to be determined by the user according to the standard value of the calibration energy consumption of the period to be determined by the user.
The person skilled in the art will know that the calibration energy consumption is the combined energy consumption of the period to be determined without energy saving measures, and is not the actual combined energy consumption of the user.
Specifically, the obtaining of the standard value of the energy consumption influence factor of the user in the period to be determined includes:
determining the standard value X of the ith energy consumption influence factor of the time period to be determined by the user according to the following formulai：
Figure BDA0002325544570000054
In the formula, xiFor the actual value, x, of the ith energy consumption influencing factor of the time period to be determinedi,minIs the minimum value of the ith energy consumption influencing factor, xi,maxIs the maximum value of the ith energy consumption influencing factor.
For example, taking any month in a year as the period to be determined, acquiring the actual values of the ith energy consumption influencing factor of 12 months in the year, and taking the maximum value as the maximum value x of the ith energy consumption influencing factori,minTaking the minimum value as the minimum value x of the ith energy consumption influence factori,max。
Specifically, the determining the standard value of the calibrated energy consumption in the period to be determined by the user according to the standard value of the energy consumption influencing factor in the period to be determined by the user includes:
determining a standard value Y of the calibration energy consumption of the period to be determined by the user according to the following formulaz：
Figure BDA0002325544570000061
In the formula, XiStandard values for the ith energy consumption influencing factor for the period to be determined by the user, βiIs the correction coefficient of the standard value of the ith energy consumption influence factor, e is a constant, i belongs to [1, N ∈]And N is the total number of the energy consumption influence factors.
Wherein, the correction coefficient and the constant of the standard value of each energy consumption influence factor are obtained according to the following method:
and fitting the standard value of the energy consumption influence factor of the historical time period which is not subjected to energy-saving measures by the user and is in the same period as the time period to be determined and the standard value of the comprehensive energy consumption by using an LASSO regression algorithm to obtain the correction coefficient and the constant of the standard value of each energy consumption influence factor.
Specifically, the standard value Y' of the integrated energy consumption of the user history period is determined according to the following formula:
Figure BDA0002325544570000062
wherein y 'is the comprehensive energy consumption of the user historical period, y'maxIs the maximum value of the comprehensive energy consumption, y'minIs the minimum value of comprehensive energy consumption.
For example, taking any one month in a year as a historical period, acquiring the comprehensive energy consumptions of 12 months in the year respectively, and taking the maximum value as the maximum value x of the comprehensive energy consumptions in the historical periodi,minTaking the minimum value as the minimum value x of the comprehensive energy consumption of the historical periodi,max；
Training the model with historical period data to obtain the model parameters β described aboveiE, when the standard value of the calibration energy consumption of the time period to be determined is predicted, substituting the standard value of the image factor of the time period to be determined into the model to obtain the standard value of the calibration energy consumption of the time period to be determined;
further, the determining the calibration energy consumption of the user in the period to be determined according to the standard value of the calibration energy consumption of the user in the period to be determined includes:
determining the calibration energy consumption y of the period to be determined by the user according to the following formulaz：
yz＝Yz(ymax-ymin)+ymin
In the formula, yminMinimum value of the overall energy consumption, y, of the period to be determined for the usermaxMaximum value of the combined energy consumption, Y, for a period of time to be determined for a userzAnd calibrating the standard value of the energy consumption for the period to be determined for the user.
For example, taking any month in a year as the period to be determined, acquiring the comprehensive energy consumption of 12 months in the year respectively, and taking the maximum value as the maximum value x of the comprehensive energy consumptioni,minTaking the minimum value as the minimum value x of the comprehensive energy consumptioni,max. Preferably, the determining the energy saving amount of the user to-be-determined time period according to the calibrated energy consumption of the user to-be-determined time period includes:
the energy saving amount delta y of the time period to be determined by the user is determined according to the following formula:
Δy＝yz-y
wherein y is the comprehensive energy consumption of the period to be determined by the user, and yzThe calibrated energy consumption for the period to be determined is the user.
Based on the same inventive concept, the present invention further provides a user energy saving determination apparatus, as shown in fig. 2, the apparatus comprising:
the first determining unit is used for determining the calibration energy consumption of the time period to be determined by the user according to the energy consumption influence factors of the time period to be determined when the user takes energy-saving measures;
and the second determining unit is used for determining the energy saving amount of the time period to be determined by the user according to the calibration energy consumption of the time period to be determined by the user.
Preferably, the energy consumption influencing factors include: average income, population and electricity consumption.
Further, the first determining unit is specifically configured to:
acquiring standard values of energy consumption influence factors of a user in a period to be determined;
substituting the standard value of the energy consumption influence factor of the user in the period to be determined into a pre-obtained LASSO regression model, and taking the output value of the model as the standard value of the calibrated energy consumption of the user in the period to be determined;
and determining the calibration energy consumption of the period to be determined by the user according to the standard value of the calibration energy consumption of the period to be determined by the user.
Further, the obtaining of the standard value of the energy consumption influence factor of the user in the period to be determined includes:
determining the standard value X of the ith energy consumption influence factor of the time period to be determined by the user according to the following formulai：
Figure BDA0002325544570000071
In the formula, xiFor the actual value, x, of the ith energy consumption influencing factor of the time period to be determinedi,minIs the minimum value of the ith energy consumption influencing factor, xi,maxIs the maximum value of the ith energy consumption influencing factor.
Specifically, the determining the standard value of the calibrated energy consumption in the period to be determined by the user according to the standard value of the energy consumption influencing factor in the period to be determined by the user includes:
determining a standard value Y of the calibration energy consumption of the period to be determined by the user according to the following formulaz：
Figure BDA0002325544570000081
In the formula, XiStandard values for the ith energy consumption influencing factor for the period to be determined by the user, βiIs the correction coefficient of the standard value of the ith energy consumption influence factor, e is a constant, i belongs to [1, N ∈]And N is the total number of the energy consumption influence factors.
Wherein, the correction coefficient and the constant of the standard value of each energy consumption influence factor are obtained according to the following method:
and fitting the standard value of the energy consumption influence factor of the historical time period which is not subjected to energy-saving measures by the user and is in the same period as the time period to be determined and the standard value of the comprehensive energy consumption by using an LASSO regression algorithm to obtain the correction coefficient and the constant of the standard value of each energy consumption influence factor.
Further, the standard value Y' of the integrated energy consumption of the user history period is determined according to the following formula:
Figure BDA0002325544570000082
wherein y 'is the comprehensive energy consumption of the user historical period, y'maxIs the maximum value of the comprehensive energy consumption, y'minIs the minimum value of comprehensive energy consumption.
Further, the determining the calibration energy consumption of the user in the period to be determined according to the standard value of the calibration energy consumption of the user in the period to be determined includes:
determining the calibration energy consumption y of the period to be determined by the user according to the following formulaz：
yz＝Yz(ymax-ymin)+ymin
In the formula, yminMinimum value of the overall energy consumption, y, of the period to be determined for the usermaxAnd determining the maximum value of the comprehensive energy consumption of the time period for the user.
Preferably, the first determining unit is specifically configured to:
the energy saving amount delta y of the time period to be determined by the user is determined according to the following formula:
Δy＝yz-y
wherein y is the comprehensive energy consumption of the period to be determined by the user, and yzThe calibrated energy consumption for the period to be determined is the user.
In summary, the present invention provides a method and an apparatus for determining energy saving amount of a user, which determine calibration energy consumption of the user in a period to be determined according to energy consumption influencing factors of the period to be determined when the user takes energy saving measures; determining the energy saving amount of the time period to be determined by the user according to the calibration energy consumption of the time period to be determined by the user; according to the method, the energy saving amount is determined by obtaining the calibrated energy consumption under the same scale through the pre-obtained energy consumption influence factors, the method is wide in application range and not limited to commercial users, the accuracy of the result is improved, and guidance can be provided for improvement of subsequent energy saving measures.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.

Claims (10)

1. A user energy savings determination method, the method comprising:
determining the calibration energy consumption of the time period to be determined by the user according to the energy consumption influence factors of the time period to be determined when the user takes energy-saving measures;
and determining the energy saving amount of the time period to be determined by the user according to the calibration energy consumption of the time period to be determined by the user.
2. The method of claim 1, wherein the energy consumption affecting factors comprise: average income, population and electricity consumption.
3. The method of claim 1, wherein determining the calibrated energy consumption for the period to be determined for the user based on the energy consumption impact factors for the period to be determined for which the user takes energy saving measures comprises:
acquiring standard values of energy consumption influence factors of a user in a period to be determined;
determining a standard value of the calibrated energy consumption of the user in the period to be determined according to the standard value of the energy consumption influence factor of the user in the period to be determined;
and determining the calibration energy consumption of the period to be determined by the user according to the standard value of the calibration energy consumption of the period to be determined by the user.
4. The method of claim 3, wherein obtaining the standard value of the energy consumption impact factor for the period of time to be determined by the user comprises:
determining the standard value X of the ith energy consumption influence factor of the time period to be determined by the user according to the following formulai：
Figure FDA0002325544560000011
In the formula, xiFor the actual value, x, of the ith energy consumption influencing factor of the time period to be determinedi,minIs the minimum value of the ith energy consumption influencing factor, xi,maxIs the maximum value of the ith energy consumption influencing factor.
5. The method of claim 3, wherein determining the standard value for the calibrated energy consumption for the period of time to be determined by the user from the standard values for the energy consumption affecting factors for the period of time to be determined by the user comprises:
determining a standard value Y of the calibration energy consumption of the period to be determined by the user according to the following formulaz：
Figure FDA0002325544560000012
In the formula, XiStandard values for the ith energy consumption influencing factor for the period to be determined by the user, βiIs the correction coefficient of the standard value of the ith energy consumption influence factor, e is a constant, i belongs to [1, N ∈]And N is the total number of the energy consumption influence factors.
6. The method of claim 5, wherein the correction factor and the constant of the standard value of each energy consumption influencing factor are obtained as follows:
and fitting the standard value of the energy consumption influence factor of the historical time period which is not subjected to energy-saving measures by the user and is in the same period as the time period to be determined and the standard value of the comprehensive energy consumption by using an LASSO regression algorithm to obtain the correction coefficient and the constant of the standard value of each energy consumption influence factor.
7. The method as set forth in claim 6, wherein the criterion value Y' of the integrated energy consumption for the history period during which the user has not taken energy saving measures and is contemporaneous with the period to be determined is determined as follows:
Figure FDA0002325544560000021
wherein y 'is the comprehensive energy consumption of the user historical period, y'maxIs the maximum value of the comprehensive energy consumption of the user historical period, y'minThe minimum value of the comprehensive energy consumption of the user historical period.
8. The method of claim 3, wherein determining the calibrated energy consumption for the period of time to be determined by the user from the standard value of the calibrated energy consumption for the period of time to be determined by the user comprises:
determining the calibration energy consumption y of the period to be determined by the user according to the following formulaz：
yz＝Yz(ymax-ymin)+ymin
In the formula, yminMinimum value of the overall energy consumption, y, of the period to be determined for the usermaxMaximum value of the combined energy consumption, Y, for a period of time to be determined for a userzAnd calibrating the standard value of the energy consumption for the period to be determined for the user.
9. The method of claim 1, wherein determining the energy savings for the user to be determined time period based on the calibrated energy consumption for the user to be determined time period comprises:
the energy saving amount delta y of the time period to be determined by the user is determined according to the following formula:
Δy＝yz-y
wherein y is the comprehensive energy consumption of the period to be determined by the user, and yzThe calibrated energy consumption for the period to be determined is the user.
10. A user energy savings determination apparatus, the apparatus comprising:
the first determining unit is used for determining the calibration energy consumption of the time period to be determined by the user according to the energy consumption influence factors of the time period to be determined when the user takes energy-saving measures;
and the second determining unit is used for determining the energy saving amount of the time period to be determined by the user according to the calibration energy consumption of the time period to be determined by the user.
CN201911314754.3A 2019-12-19 2019-12-19 User energy saving determination method and device Pending CN111199339A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113240333A (en) * 2021-06-08 2021-08-10 南方电网数字电网研究院有限公司 Energy saving evaluation method and device for key energy consumption unit and computer equipment
CN113505847A (en) * 2021-07-26 2021-10-15 云南电网有限责任公司电力科学研究院 Energy-saving online measuring system and method based on transfer learning

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113240333A (en) * 2021-06-08 2021-08-10 南方电网数字电网研究院有限公司 Energy saving evaluation method and device for key energy consumption unit and computer equipment
CN113505847A (en) * 2021-07-26 2021-10-15 云南电网有限责任公司电力科学研究院 Energy-saving online measuring system and method based on transfer learning

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