CN108053074A - A kind of computational methods and system of power consumption contributive rate - Google Patents
A kind of computational methods and system of power consumption contributive rate Download PDFInfo
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Abstract
The present invention relates to a kind of computational methods and system of power consumption contributive rate, and electricity consumption target day and comparison day are predefined according to electricity consumption historical data；User is chosen, and according to the target day and comparison day, calculates target day and comparison daily power consumption；Contributive rate of the target day to power consumption is calculated according to target day and comparison daily power consumption.Technical solution provided by the invention is based on calculating of data research festivals or holidays electricity consumption day to power consumption contributive rate, using result as guiding, not only calculating of the festivals or holidays to power consumption contributive rate had been improved, but also has improved computational valid time, also provides more efficiently technological means for electricity demand forecasting.
Description
Technical field
The present invention relates to electro-load forecast fields, and in particular to a kind of computational methods and system of power consumption contributive rate.
Background technology
Festivals or holidays refer to weigh festivals or holidays to the influence index of national power consumption to power consumption contributive rate, it is electric load
The important parameter of prediction and the important evidence of power grid enterprises' festivals or holidays power scheduling.
Lack the research of influence of the festivals or holidays to power consumption at present, a few studies are on festivals or holidays load prediction.Than
As load prediction is mainly returned according to historical data (festivals or holidays prediction is to consider 1 year festivals or holidays historical data in the past) using linear
Return, time series, returned based on temperature criterion, exponential smoothing, 5 kinds of science algorithms of artificial neural network method pass through computer meter
It calculates and forms 5 load curves, a load curve for best suiting actual conditions is filtered out further according to load actual conditions, if necessary
Manual amendment is carried out to the curve filtered out by part throttle characteristics.But for power consumption, predicted using year-on-year historical data
The festivals or holidays electricity consumption in this year is unreasonable.Power consumption and economic development are closely bound up, and annual amplitude of variation is big.On it is meteorological because
The research of influence of the son to power consumption is also very much.But from the point of view of festivals or holidays are to the influence of power consumption, meteorology, commercial power etc. are included
Multifactor, single meteorological factor of studying is inaccurate.
The statistical content of existing computational methods is not lengthy and jumbled, easy to operate, and computational methods are difficult between unified, different algorithm
There is as little as several times up to tens times of gap, be unfavorable for forming unified system to carry out economy, electric power analysis.Statistical parameter is numerous
More, arbitrary parameter cannot all determine contributive rate of the festivals or holidays to power consumption, also be difficult to ensure data while counting added cost
With the accuracy of result of calculation, therefore such statistical calculation method is difficult to meet the current market demand.
The content of the invention
To solve above-mentioned deficiency of the prior art, the object of the present invention is to provide a kind of calculating sides of power consumption contributive rate
Method and system divide screening, festivals or holidays, the selection of comparison day, the calculating of average daily data etc. from user and carry out residential electricity consumption load
Forecast analysis, compared with traditional statistics calculation and analysis methods, analysis method of the invention had both improved festivals or holidays to power consumption
The calculating of contributive rate, and computational valid time is improved, also more efficiently technological means is provided for electricity demand forecasting.
The purpose of the present invention is what is realized using following technical proposals：
The present invention provides a kind of computational methods of power consumption contributive rate, thes improvement is that：
Electricity consumption target day and comparison day are predefined according to electricity consumption historical data；
User is chosen, and according to the target day and comparison day, calculates target day and comparison daily power consumption；
Contributive rate of the target day to power consumption is calculated according to target day and comparison daily power consumption.
Further：The user of the selection includes non-resident user and resident；The non-resident user using family as
Unit, the resident is in units of taiwan area；
Further：Described predefined according to electricity consumption historical data includes day electricity consumption target day and comparison：
It more than electricity consumption cycle of preset threshold value is electricity consumption target day to select power consumption fluctuation based on electricity consumption historical data；
The target day includes at least one day, sets the target day as cycle first time, and the comparison day is described
The period in m times of cycle first time before Start Date target day, m take the integer more than 1.
Further：The calculating target day and comparison daily power consumption, including：
It obtains and chooses power consumption of the user in target day and comparison day in advance；
Summarized based on the user chosen in advance in the power consumption of target day and comparison day；
Calculate the average daily power consumption of the target day after summarizing and comparison day.
Further：The target day and comparison day average daily power consumption are represented respectively with following formula：
Wherein：H1, H2 ..., Hn for target day daily power consumption,For target day average daily power consumption；V1, V2 ..., Vn for pair
Than day daily power consumption, n is target day number of days,For comparison day average daily power consumption.
Further：It is described to be summarized based on the user chosen in advance in the power consumption of target day and comparison day,
Including：Non-resident user power utilization amount by industry and taiwan area is summarized, resident's power consumption is summarized by electricity consumption classification and taiwan area.
Further, described calculated according to target day with comparison daily power consumption represents the contributive rate of power consumption target day
For：
Wherein：For the average daily power consumption of target day,For comparison day average daily power consumption, R is shadow of the target day to power consumption
The rate of sound.
The present invention provides a kind of computing system of power consumption contributive rate, thes improvement is that：
Determining module, for predefining electricity consumption target day and comparison day according to electricity consumption historical data；
First computing module for choosing user, and according to the target day and comparison day, calculates target day and comparison day
Power consumption；
Second computing module, for calculating contributive rate of the target day to power consumption according to target day and comparison daily power consumption.
Further：The user chosen in advance includes non-resident user and resident；The non-resident user with
Family is unit, and the resident is in units of taiwan area.
Further：The determining module includes：
Selecting unit, for based on electricity consumption cycle of the electricity consumption historical data selection power consumption fluctuation more than preset threshold value
For electricity consumption target day；
Setup unit, the target day includes at least one day, described for setting the target day as cycle first time
Period of the day for m times of cycle first time before Start Date target day is compared, m takes the integer more than 1.
Further：First computing module, including：
Acquiring unit chooses power consumption of the user in target day and comparison day in advance for obtaining；
Collection unit, for being summarized based on the user chosen in advance in the power consumption of target day and comparison day；
Computing unit, for calculating the average daily power consumption of the target day after summarizing and comparison day.
Further：The collection unit, including：
Non-resident user's collection unit, for non-resident user power utilization amount to be summarized by industry and area；
Resident's collection unit, for resident's power consumption to be summarized by electricity consumption classification and area.
Compared with the immediate prior art, technical solution provided by the invention has an advantageous effect in that：
(1) present invention calculates target day and comparison daily power consumption according to user, target day and the comparison day chosen in advance；
And festivals or holidays are calculated to the contributive rate of power consumption according to festivals or holidays and comparison daily power consumption, divide screening, target day, right from user
Residential electricity consumption load forecasting analysis is carried out than day selection, the calculating of average daily power consumption etc., calculates and divides compared with traditional statistics
Analysis method, analysis method of the invention had not only improved the calculating to power consumption contributive rate, but also improved computational valid time, also for
Power quantity predicting provides more efficiently technological means.
(2) festivals or holidays contributive rate computational methods provided by the invention are a kind of based on " macroeconomy in " electricity consumption day data "
Analysis " the i.e. computational methods of the festivals or holidays contributive rate of power consumption statistical function, all electricity consumption datas are by electric energy service pipe
Platform provides, and is then compared the average daily electricity consumption data of target day and comparison day；
(3) festivals or holidays of the invention combine power consumption contributive rate with electricity consumption day data to realize statistics well, can throw
It opens the numerous and diverse statistic processes of all kinds of algorithms of different, high manpower consumption and is difficult to a variety of calculating sides for reaching unified understanding in the industry
Method breaks the limitation between industry, establishes the industry statistic method of open cooperation.
Description of the drawings
The specific embodiment of the application is described below with reference to accompanying drawings, wherein：
Fig. 1 is the detailed stream provided by the invention based on the festivals or holidays of daily power consumption to the computational methods of power consumption contributive rate
Cheng Tu；
Fig. 2 is the simple stream provided by the invention based on the festivals or holidays of daily power consumption to the computational methods of power consumption contributive rate
Cheng Tu.
Specific embodiment
The specific embodiment of the present invention is described in further detail below in conjunction with the accompanying drawings.
The following description and drawings fully show specific embodiments of the present invention, to enable those skilled in the art to
Put into practice them.Other embodiments can include structure, logic, it is electrical, process and other change.Embodiment
Only represent possible variation.Unless explicitly requested, otherwise individual component and function are optional, and the order operated can be with
Variation.The part of some embodiments and feature can be included in or replace part and the feature of other embodiments.This hair
The scope of bright embodiment includes equivalent obtained by the gamut of claims and all of claims
Object.Herein, these embodiments of the invention can individually or generally be represented that this is only with term " invention "
For convenience, and if in fact disclosing the invention more than one, it is not meant to automatically limit the scope of the application to appoint
What single invention or inventive concept.
Embodiment one,
As illustrated in fig. 1 and 2, based on electricity consumption day data, calculating of the festivals or holidays to power consumption contributive rate of power consumption statistics
Method comprises the following steps：
Step 1, electricity consumption target day and comparison day are predefined according to electricity consumption historical data；
Step 2, user is chosen, and according to the target day and comparison day, calculates target day and comparison daily power consumption；
Step 3, contributive rate of the target day to power consumption is calculated according to target day and comparison daily power consumption.
In the step 1, electricity consumption target day and comparison day are predefined according to electricity consumption historical data, including：
It more than electricity consumption cycle of preset threshold value is electricity consumption target day to select power consumption fluctuation based on electricity consumption historical data,
For the threshold value set as arbitrary setting, the electricity consumption target day is the power consumptions such as May Day, National Day, New Year's Day, the Spring Festival with electricity consumption day
The larger date is fluctuated in front and rear variation.It can calculate target day and be set to festivals or holidays, the foundation that festivals or holidays are chosen includes：Festivals or holidays class
Type, time length, festivals or holidays culture etc., the target day include at least one day, set the target day as cycle first time,
Described to compare period of the Time of Day section for m times of cycle first time before Start Date target day, m is taken more than 1
Integer.Such as：Selected target day is festivals or holidays, and festivals or holidays are Sunday, then selects festivals or holidays as the of preceding 3 cycles on Sunday
It is comparison day corresponding festivals or holidays that a cycle, which is,.
In the step 2, the foundation of user is chosen, can be included：
All electricity consumption users in China are investigated, are classified as non-resident user and two class of resident, and by non-resident user
It is divided by family, resident is divided by taiwan area.
Target day and comparison daily power consumption are calculated in the step 2, specifically includes following sub-step：
Step 21, the festivals or holidays for obtaining all users and the power consumption for comparing day；
Step 22 is summarized according to non-resident user by area, industry, and the resident in units of taiwan area presses city
Township, area are summarized；
Step 23, each area data summarized according to step 22 calculate respectively summarize region festivals or holidays and comparison day respectively
Average daily power consumption；
Power consumption information is obtained by " electric energy service management platform " in the step 2, the electric energy service management is put down
Platform is State Grid Corporation of China's demand Side Management target responsibility check and the control platform of energy conservation service business, is also ordered into using
The execution platform of the business such as electricity, power sales analysis or the Electricity customers interactive service platform and section that can be detected and seek advice from
The exchange shared platform of energy service information.The comprehensive of festivals or holidays power consumption can be obtained by " macro economic analysis " of the platform to believe
Breath.
The step 4 calculates target day to the contributive rate of power consumption according to target day and comparison daily power consumption, can include：
Selected target day be festivals or holidays after, by the festivals or holidays average daily power consumption data and comparison day average daily power consumption data
Substitute into festivals or holidays contributive rate formula：
Wherein：To select festivals or holidays average daily power consumption,For comparison day average daily power consumption, R is festivals or holidays to power consumption
Contributive rate, negative sign are to ensure R for just.
Such as Fig. 1, the festivals or holidays provided by the invention based on day electricity consumption data are described to the computational methods of power consumption contributive rate
Method includes user's choosing, selection, festivals or holidays and the calculating of comparison daily power consumption of festivals or holidays and comparison day, festivals or holidays contributive rate
Calculation procedure；The selection of the user includes choosing all electricity consumption users in China for data screening object, non-resident user's foundation
Family divides, and resident is divided with taiwan area, and the selection of the festivals or holidays and comparison day include festivals or holidays type, length, festivals or holidays
Culture etc., compares the basis for selecting festivals or holidays long and short cycle of day, and electric energy service management platform provides festivals or holidays average daily power consumption
Data, the festivals or holidays contributive rate computing module utilize festivals or holidays division module, comparison day choose the statistics provided, calculate
Festivals or holidays are to the contributive rate of power consumption.
The selection of the user can include non-resident user and resident, wherein non-resident user is drawn in units of family
Point, resident is divided in units of taiwan area.
The selection of the festivals or holidays and comparison day can include festivals or holidays type, length, festivals or holidays culture etc., and the section is false
Day type, culture include this traditional festival of the clear and bright Spring Festival, also including May Day, 11 vacations this tourist season, the choosing of comparison day
Take a cycle for according to cycle festivals or holidays, generally choosing first three cycle.
The festivals or holidays and comparison daily power consumption calculating include electric energy service management platform and provide festivals or holidays average daily power consumption,
From " macro economic analysis " column obtain power consumption, and according to area type carry out user power utilization summarize, acquire festivals or holidays with it is right
Than the average daily electricity consumption data of day.
The calculating of the festivals or holidays contributive rate is using the selection of user, the selection of festivals or holidays and comparison day, festivals or holidays and right
Than the power consumption statistics that day electricity consumption provides, contributive rate of the festivals or holidays to power consumption is calculated.
Festivals or holidays provided by the invention are a kind of to the computational methods of power consumption contributive rate based on " grand in " day electricity consumption data "
Sight economic analysis " the i.e. festivals or holidays of power consumption statistical function are to the computational methods of power consumption contributive rate, electric energy service management platform
Target day is provided, compares the electricity consumption data of day, by the difference of target day and the average daily power consumption for comparing day and comparison day average daily electricity consumption
The ratio calculation of amount and obtain result of calculation of the festivals or holidays to power consumption contributive rate；The present invention is by electric energy service management platform institute
The powerful data call ability having, can call various information in real time, and such as newest festivals or holidays power consumption, power grid is believed
Breath, load information etc. are supported so as to which for festivals or holidays power consumption contributive rate computational methods are provided with reliable statistics in real time；This
Invention festivals or holidays count well power consumption contributive rate and day electricity consumption dataflow graph with reference to realize, can cast aside all kinds of algorithms of different
Numerous and diverse statistic processes, high manpower consumption and be difficult to a variety of computational methods for reaching unified understanding in the industry, break industry it
Between limitation, establish it is open, cooperation industry statistic method.
Embodiment two,
Based on identical inventive concept, the present invention also provides a kind of computing system of power consumption contributive rate, these equipment solutions
Certainly the principle of problem is similar to a kind of computational methods of power consumption contributive rate, therefore the implementation of these equipment may refer to method
Implement, overlaps will not be repeated.
The computing system of the power consumption contributive rate, can include：
Determining module, for predefining electricity consumption target day and comparison day according to electricity consumption historical data；
First computing module for choosing user, and according to the target day and comparison day, calculates target day and comparison day
Power consumption；
Second computing module, for calculating contributive rate of the target day to power consumption according to target day and comparison daily power consumption.
Further：The user chosen in advance includes non-resident user and resident；The non-resident user with
Family is unit, and the resident is in units of taiwan area.
Further：The determining module includes：
Selecting unit, for based on electricity consumption cycle of the electricity consumption historical data selection power consumption fluctuation more than preset threshold value
For electricity consumption target day；
Setup unit, the target day includes at least one day, described for setting the target day as cycle first time
Period of the day for m times of cycle first time before Start Date target day is compared, m takes the integer more than 1.
Further：First computing module, including：
Acquiring unit chooses power consumption of the user in target day and comparison day in advance for obtaining；
Collection unit, for being summarized based on the user chosen in advance in the power consumption of target day and comparison day；
Computing unit, for calculating the average daily power consumption of the target day after summarizing and comparison day.
Further：The collection unit, including：
Non-resident user's collection unit, for non-resident user power utilization amount to be summarized by industry and area；
Resident's collection unit, for resident's power consumption to be summarized by electricity consumption classification and area.
The present invention provides a kind of computing system of festivals or holidays based on electricity consumption day data to power consumption contributive rate, and the present invention has
More direct and effective computational methods are provided beneficial to for festivals or holidays electricity consumption and power economy analysis.Using result as guiding,
It fundamentally solves the problems, such as present in computational methods of the current festivals or holidays to power consumption contributive rate, is government organs and state's household electrical appliances
Net provides more convenient reliable computational methods.Festivals or holidays provided by the invention to the computing system of power consumption contributive rate, improve
Part is：Calculating based on data research festivals or holidays electricity consumption day to power consumption contributive rate using result to be oriented to, had both improved section
Calculating of the holiday to power consumption contributive rate, and computational valid time is improved, also more efficiently technology is provided for electricity demand forecasting
Means.
For convenience of description, each several part of apparatus described above is divided into various modules with function or unit describes respectively.
Certainly, each module or the function of unit can be realized in same or multiple softwares or hardware when implementing the application.
It should be understood by those skilled in the art that, embodiments herein can be provided as method, system or computer program
Product.Therefore, the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware can be used in the application
Apply the form of example.Moreover, the computer for wherein including computer usable program code in one or more can be used in the application
The computer program production that usable storage medium is implemented on (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The application is with reference to the flow according to the method for the embodiment of the present application, equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that it can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided
The processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that the instruction performed by computer or the processor of other programmable data processing devices is generated for real
The device for the function of being specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction generation being stored in the computer-readable memory includes referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or
The function of being specified in multiple boxes.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps is performed on calculation machine or other programmable devices to generate computer implemented processing, so as in computer or
The instruction offer performed on other programmable devices is used to implement in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a box or multiple boxes.
The above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof, although with reference to above-described embodiment pair
The present invention is described in detail, those of ordinary skill in the art still can to the present invention specific embodiment into
Row modification either equivalent substitution these without departing from any modification of spirit and scope of the invention or equivalent substitution, applying
Within the claims of the pending present invention.
Claims (12)
1. a kind of computational methods of power consumption contributive rate, it is characterised in that：
Electricity consumption target day and comparison day are predefined according to electricity consumption historical data；
User is chosen, and according to the target day and comparison day, calculates target day and comparison daily power consumption；
Contributive rate of the target day to power consumption is calculated according to target day and comparison daily power consumption.
2. computational methods as described in claim 1, it is characterised in that：The user of the selection includes non-resident user and resident
User；The non-resident user is in units of family, and the resident is in units of taiwan area.
3. computational methods as described in claim 1, it is characterised in that：It is described that electricity consumption mesh is predefined according to electricity consumption historical data
Mark day and comparison include day：
It more than electricity consumption cycle of preset threshold value is electricity consumption target day to select power consumption fluctuation based on electricity consumption historical data；
The target day includes at least one day, sets the target day as cycle first time, and the comparison day is the target
The period in m times of cycle first time before Start Date day, m take the integer more than 1.
4. computational methods as claimed in claim 2, it is characterised in that：The calculating target day and comparison daily power consumption, including：
It obtains and chooses power consumption of the user in target day and comparison day in advance；
Summarized based on the user chosen in advance in the power consumption of target day and comparison day；
Calculate the average daily power consumption of the target day after summarizing and comparison day.
5. computational methods as claimed in claim 4, it is characterised in that：The target day and comparison day average daily power consumption are used respectively
Following formula represent：
Wherein：H1, H2 ..., Hn for target day daily power consumption,For target day average daily power consumption；V1, V2 ..., Vn for comparison day
Daily power consumption, n are target day number of days,For comparison day average daily power consumption.
6. computational methods as claimed in claim 4, it is characterised in that：It is described based on the user chosen in advance in target day
Summarized with the power consumption of comparison day, including：
Non-resident user power utilization amount by industry and taiwan area is summarized, resident's power consumption is summarized by electricity consumption classification and taiwan area.
7. computational methods as described in claim 1, which is characterized in that described that mesh is calculated according to target day and comparison daily power consumption
Mark is expressed as the contributive rate of power consumption day：
Wherein：For the average daily power consumption of target day,For comparison day average daily power consumption, R is contributive rate of the target day to power consumption.
8. a kind of computing system of power consumption contributive rate, it is characterised in that：
Determining module, for predefining electricity consumption target day and comparison day according to electricity consumption historical data；
First computing module for choosing user, and according to the target day and comparison day, calculates target day and comparison day electricity consumption
Amount；
Second computing module, for calculating contributive rate of the target day to power consumption according to target day and comparison daily power consumption.
9. computing system as claimed in claim 8, it is characterised in that：The user chosen in advance include non-resident user and
Resident；The non-resident user is in units of family, and the resident is in units of taiwan area.
10. computing system as claimed in claim 8, it is characterised in that：The determining module includes：
Selecting unit, the electricity consumption cycle for based on electricity consumption historical data power consumption fluctuation being selected to be more than preset threshold value are to use
Electric target day；
Setup unit, the target day includes at least one day, for setting the target day as cycle first time, the comparison
Day for m times of cycle first time before Start Date target day period, m takes the integer more than 1.
11. computing system as claimed in claim 8, it is characterised in that：First computing module, including：
Acquiring unit chooses power consumption of the user in target day and comparison day in advance for obtaining；
Collection unit, for being summarized based on the user chosen in advance in the power consumption of target day and comparison day；
Computing unit, for calculating the average daily power consumption of the target day after summarizing and comparison day.
12. computing system as claimed in claim 11, it is characterised in that：The collection unit, including：
Non-resident user's collection unit, for non-resident user power utilization amount to be summarized by industry and area；
Resident's collection unit, for resident's power consumption to be summarized by electricity consumption classification and area.
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| WO2021120829A1 (en) * | 2019-12-20 | 2021-06-24 | 上海市建筑科学研究院有限公司 | Method for diagnosing energy consumption of lighting socket branches of buildings during non-operational periods |
| CN113222403A (en) * | 2021-05-10 | 2021-08-06 | 湖南省计量检测研究院 | Power adjusting method and device based on big data, storage medium and electronic equipment |
| CN116231707A (en) * | 2023-02-10 | 2023-06-06 | 广州汇锦能效科技有限公司 | Household photovoltaic and energy storage intelligent energy system |
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| US20120316807A1 (en) * | 2011-03-10 | 2012-12-13 | Detectent, Inc. | Determining electrical load and lifestyle characteristics |
| CN104063810A (en) * | 2014-07-04 | 2014-09-24 | 国家电网公司 | Electricity utilization factor influence model based on big data |
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| WO2021120829A1 (en) * | 2019-12-20 | 2021-06-24 | 上海市建筑科学研究院有限公司 | Method for diagnosing energy consumption of lighting socket branches of buildings during non-operational periods |
| CN113222403A (en) * | 2021-05-10 | 2021-08-06 | 湖南省计量检测研究院 | Power adjusting method and device based on big data, storage medium and electronic equipment |
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| CN116231707B (en) * | 2023-02-10 | 2024-01-30 | 广州汇锦能效科技有限公司 | Household photovoltaic and energy storage intelligent energy system |
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