CN112232910A - Electric power market expanding system - Google Patents
Electric power market expanding system Download PDFInfo
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- CN112232910A CN112232910A CN202011090626.8A CN202011090626A CN112232910A CN 112232910 A CN112232910 A CN 112232910A CN 202011090626 A CN202011090626 A CN 202011090626A CN 112232910 A CN112232910 A CN 112232910A
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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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
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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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention discloses an electric power market expanding system, which comprises: the power demand response module is used for identifying potential customers of power demand response in power consumers so as to expand the customer market of the power demand response; and the electric energy product module is used for identifying target customers of the electric energy products in the power consumers so as to expand the customer market of the electric energy products. The invention can not only realize the mining and identification of potential customers and target customers, but also greatly improve the identification efficiency and accuracy of the potential customers and the target customers, thereby efficiently expanding the electric power market.
Description
Technical Field
The invention relates to the field of electric power operation control, in particular to an electric power market expansion system.
Background
Under the requirements of big data strategy and digital national network construction, the potential and transformation intention of power consumers in the aspects of power utilization mode, comprehensive energy products and the like need to be comprehensively mastered, and the power market is effectively expanded. However, there are some problems in both the electricity market and the electric power energy product market.
The phenomenon of large peak-valley difference of a power grid usually occurs in the electricity market, and the power demand response is a common method for solving the problem of large peak-valley difference of the power grid, which is different from the conventional load control method that a negative control device is used for actively cutting off certain part of power supply in a system and reducing or transferring part of power demand of power consumers from the load peak period of the power grid to the load valley period; the power demand response emphasizes that the power consumers actively adjust the load demand or the power utilization mode directly according to market conditions (such as price signals), so that the market stability and the power grid reliability are promoted. It can be said that power demand response is an important approach to expand the power market. However, at present, the market expansion of the power demand response customer is mainly realized by a mode of primarily judging according to the information of the previous power demand response participation situation of the power consumer, the power consumption and the like and then inquiring the power demand response willingness of the power consumer one by one through a telephone, and the mode has low efficiency and lacks of corresponding data support.
Meanwhile, the popularization of electric energy products is also an important means for expanding the electric power market. Because the variety of electric power energy products is various, different types of electric power energy products need to be popularized to different electric power users, for example, an electric boiler and a heat pump are suitable for users who have a large demand for heat energy, such as schools, hospitals, industrial enterprises, large commercial complexes, and the like, and an energy storage device is suitable for energy-using large users, such as large industrial enterprises/parks, rail transit, and the like. However, at present, due to the problems that the updating of the electric power user profile data in the electric power system is delayed or corresponding service characteristic fields are lacked, effective screening and identification cannot be achieved for users of specific categories such as important hospitals, schools, data centers and commercial complexes and users of specific areas such as industrial parks and scientific and technological parks, and therefore the popularization work efficiency of electric power energy products is low.
Disclosure of Invention
The invention aims to provide an electric power market expanding system which can effectively expand the electric power market by identifying potential customers who excavate electric power demand response in electric power users and target customers of electric power energy products.
In order to achieve the purpose, the invention is realized by the following technical scheme:
an electric power market expansion system comprising:
the power demand response module is used for identifying potential customers of power demand response in power consumers so as to expand the customer market of the power demand response; and
and the electric energy product module is used for identifying target customers of the electric energy products in the power consumers so as to expand the customer market of the electric energy products.
Preferably, the power demand response module includes:
the first data acquisition unit is used for acquiring energy consumption data of the power consumer and historical participation data responding to the power demand;
the first data processing unit is used for acquiring demand response data of the power consumer according to the energy consumption data and the historical participation data;
a potential customer identification unit for identifying the potential customers of the power demand response from the power consumers according to the demand response data; and
and the accuracy evaluation unit is used for carrying out accuracy evaluation on the identification result of the potential customer.
Preferably, the potential customer identification unit includes:
acquiring the response quantity of the power consumer according to the demand response data and preset conditions;
and identifying the potential users of the power demand response in the power users by adopting an RFM model according to the demand response data and the response quantity.
Preferably, the preset conditions include: a time period and a demand type of the power demand response; the demand types include peak clipping and valley filling.
Preferably, the demand response data comprises: power equipment or system data, production law data, demand response capability, and load characteristics.
Preferably, the electric power-energy product module comprises:
the second data acquisition unit is used for acquiring basic attribute data and energy consumption data of the power consumer; and
a target customer identification unit for identifying the target customer of the energy product from the electricity consumer based on the base attribute data and the energy usage data.
Preferably, the basic attribute data includes: internal data and external data;
the internal data comprises the name, industry, electricity utilization category and electricity price of the power consumer in the power system;
the external data comprises the name of the power consumer, certificate information, industry and commerce classification and operation range.
Preferably, the target customer identification unit includes:
extracting the target customer group of the energy product according to the industry of the power consumer and the price of electricity; and/or extracting the target customer group by performing text analysis on the user name of the power user;
and classifying and identifying the target clients according to the basic attribute data and the energy utilization data corresponding to the target client group.
Preferably, the electric power-energy product module further comprises: a second data processing unit; the second data processing unit is used for matching the internal data and the external data of the power consumer so as to perfect the information of the target customer.
Preferably, the electric power-energy product comprises: the system comprises one or any combination of an energy management system, an electric boiler, a heat pump, energy storage equipment, combined cooling heating and power supply and a solar photovoltaic power generation system.
Compared with the prior art, the invention has at least one of the following advantages:
according to the electric power market expanding system provided by the invention, potential customers who can participate in electric power demand response of an electric power user can be identified through the electric power demand response module, so that the customer market of the electric power demand response is expanded, and the electric power market is further expanded.
The invention can also classify and identify the target customers of the electric energy products in the electric power users through the electric energy product module, thereby recommending the corresponding electric energy products to the target customers and further expanding the electric power market.
The invention screens and identifies potential customers and target customers by using an automatic technical means, and can greatly improve the identification efficiency and accuracy, thereby providing conditions for rapidly expanding the electric power market.
Drawings
Fig. 1 is a schematic structural diagram of an electric power market expanding system according to an embodiment of the present invention.
Detailed Description
The electric power market expanding system proposed by the present invention will be described in further detail with reference to the accompanying drawings and the detailed description. The advantages and features of the present invention will become more apparent from the following description. It is to be noted that the drawings are in a very simplified form and are all used in a non-precise scale for the purpose of facilitating and distinctly aiding in the description of the embodiments of the present invention. To make the objects, features and advantages of the present invention comprehensible, reference is made to the accompanying drawings. It should be understood that the structures, ratios, sizes, and the like shown in the drawings and described in the specification are only used for matching with the disclosure of the specification, so as to be understood and read by those skilled in the art, and are not used to limit the implementation conditions of the present invention, so that the present invention has no technical significance, and any structural modification, ratio relationship change or size adjustment should still fall within the scope of the present invention without affecting the efficacy and the achievable purpose of the present invention.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Referring to fig. 1, the power market expanding system provided in this embodiment includes: the power demand response module 110 is used for identifying potential customers of power demand response in power consumers so as to expand the customer market of the power demand response; and an electric power energy product module 120, configured to identify a target customer of an electric power energy product among the electric power consumers, so as to expand a customer market of the electric power energy product.
With continued reference to fig. 1, the power demand response module 110 includes: a first data acquisition unit 1101, configured to acquire energy consumption data of the power consumer and historical participation data in response to the power demand; a first data processing unit 1102, configured to obtain demand response data of the power consumer according to the energy consumption data and the historical participation data; a potential customer identification unit 1103 for identifying the potential customer of the power demand response from the power consumer according to the demand response data; and a precision evaluation unit 1104 for performing precision evaluation on the identification result of the potential customer.
It will be appreciated that in some other embodiments, the demand response data includes: power equipment or system data, production law data, demand response capability, and load characteristics.
Specifically, in this embodiment, the energy consumption data acquired by the first data acquisition unit 1101 may include load data, power consumption data, power demand data, and the like of the power consumer; the historical participation data may include a historical participation number, a historical effective participation rate, a historical response amount, and the like of the power consumer in response to the power demand, but the invention is not limited thereto.
Specifically, the first data processing unit 1102 may obtain a daily load curve and a daily average load rate according to the load data of the electricity consumer, and obtain data of the electricity device or system by combining the electricity consumption data of the electricity consumer and the electricity demand data to determine whether the electricity consumer has the electricity device or system; or when it is known that there are many power consumers with power devices or systems, the power consumers with energy storage devices may be used as a training set, and the first data processing unit 1102 may mine the power consumers of similar types by using methods such as logistic regression or random forest, and acquire the power device or system data of the power consumers, but the invention is not limited thereto.
In this embodiment, the power device or system mainly includes an energy storage device and an energy control system, and the power consumer having the energy storage device has a strong regulation capability in terms of power consumption, and can become the potential customer of the power demand response; meanwhile, most energy storage devices are provided with an energy control system, so that an energy management system can be used for performing auxiliary judgment on whether the power consumer has the energy storage device, and further determining whether the power consumer can become the potential customer responding to the power demand.
Specifically, in this embodiment, the first data processing unit 1102 may obtain the production schedule data of the power consumer according to the load data and the power consumption data (for example, daily power consumption, weekly power consumption, monthly power consumption, and the like) of the power consumer. For example, the production energy characteristics of the power consumer at different time periods in a day can be observed through daily power quantity data; the production energy utilization characteristics of the working days and holidays of the power consumers can be observed through the weekly power consumption; the production energy characteristics of the power consumers in each month can be observed through the monthly power consumption, but the invention is not limited to this.
Specifically, in this embodiment, the first data processing unit 1102 may further evaluate the demand response capability of the power consumer according to the historical participation times, the historical effective participation rate, and the historical response quantity of the power consumer, for example, the power consumer who has participated in the power demand response effectively has a certain regulation and control capability in the aspect of power utilization, has a strong demand response capability, and may become a potential customer of the power demand response, but the present invention is not limited thereto.
Specifically, in this embodiment, the first data processing unit 1102 may also obtain the load characteristics of the power consumer according to the load data of the power consumer. For example, the power consumer with daytime load characteristics is mainly daytime load and is lower at night; the power consumer with the daytime bimodal load characteristic is mainly subjected to daytime load, but has obvious valley in the middle of the day and lower load at night; the power consumer with the night-time load characteristic is mainly subjected to night-time load, and the day-time load is lower. Meanwhile, the first data processing unit 1102 may also obtain the energy usage characteristics of the electricity consumer according to the electricity consumption data of the electricity consumer. For example, the sum of the peak electricity consumption and the average electricity consumption of the power consumer with the peak time period electricity consumption as the main energy characteristic exceeds 80% of the total electricity consumption; the electric power consumption of the electric power consumer with the characteristic that the power consumption in the valley period is the main energy exceeds 40% of the total power consumption in the last year, but the invention is not limited to this.
With continued reference to fig. 1, the potential customer identification unit 1103 includes: acquiring the response quantity of the power consumer according to the demand response data and preset conditions; and identifying the potential users of the power demand response in the power users by adopting an RFM model according to the demand response data and the response quantity.
It will be appreciated that in some other embodiments, the preset conditions include: a time period and a demand type of the power demand response; the demand types include peak clipping and valley filling.
Specifically, the potential customer identification unit 1103 may perform comprehensive evaluation on whether the power consumer can participate in the power demand response according to the time period and the demand type (peak clipping or valley filling) of the power demand response, by combining the production rule data, the load characteristic, the energy consumption characteristic, the demand response capability, and the like of the power consumer, and calculate the response amount of the power consumer that can participate in the power demand response, but the invention is not limited thereto.
In this embodiment, the power consumer operating in 24 hours has better regulation capability in the off-peak period than the consumer operating in 8 hours; the regulation and control capability of the users still normally operating in the holidays in the holiday period is superior to that of the users who pause in the holidays; the user with large monthly fluctuation has large monthly power consumption fluctuation, and the regulation and control capability in the busy season is far better than that in the slack season. Therefore, whether the power consumer has the capacity of peak clipping and valley filling in the time point or the time period of the power demand response can be judged according to the production shift, the stable power utilization time period, the non-power utilization time period, the holidays and the like. The power consumer with daytime type load characteristics has better regulation and control capability in daytime periods than the power consumer with nighttime type load characteristics; the power consumer with the peak time period power consumption as the main energy characteristic has better regulation and control capability in the peak time period than the power consumer with the valley time period power consumption as the main energy characteristic.
In this embodiment, for the electric power consumer with peak clipping and valley filling capabilities, the potential customer identification unit 1103 may perform calculation and evaluation on the response amount of the electric power consumer in peak clipping or peak clipping according to the industry type, the load ring ratio (working day and non-working day), the daily power ring ratio, and the like of the electric power consumer.
Specifically, in this embodiment, the potential customer identification unit 1103 may further perform, according to the power equipment or system data, the production rule data, the historical participation data, and the response amount of the power consumer, and by combining the actual service scenario and the actual service logic of the power demand response, fast positioning and identifying the potential customer responding to the power demand in the power consumer by using an RFM model; in other embodiments, the potential customer identification unit 1103 may also identify the potential customer of the power demand response by using an AHP model, but the invention is not limited thereto.
Specifically, in this embodiment, the accuracy evaluation unit 1104 may perform accuracy evaluation on the recognition result of the potential client unit from two aspects, one of which is to perform comparison analysis on the recognition result of the potential client recognition unit and a result obtained by a service expert through experience; and secondly, identifying the previous power consumer, and comparing the identification result of the potential customer with the previous actual result participating in the power demand response. By performing the accuracy evaluation, the identification result of the potential customer by the power demand response module 110 can satisfy the application requirement, but the invention is not limited thereto.
With continued reference to fig. 1, the electric energy product module 120 comprises: the second data acquisition unit 1201 is used for acquiring basic attribute data and energy consumption data of the power consumer; and a target customer identification unit 1203 for identifying the target customer of the energy product from the electricity consumer according to the basic attribute data and the energy usage data.
It will be appreciated that in some other embodiments, the base attribute data includes: internal data and external data; the internal data comprises the name, industry, electricity utilization category and electricity price of the power consumer in the power system; the external data comprises the name of the power consumer, certificate information, industry and commerce classification and operation range.
Specifically, in this embodiment, the internal data may be obtained through an intranet service system of the power system, and the external data may be obtained through extranet crawling; the energy consumption data includes load data and power consumption data of the power consumer, but the invention is not limited thereto.
With continued reference to fig. 1, the electric energy product module 120 further includes: a second data processing unit 1202; the second data processing unit 1202 is configured to match the internal data and the external data of the power consumer to complete the information of the target customer.
Specifically, in this embodiment, the second data processing unit 1202 may match the name or the certificate information of the power consumer in the internal data with the name or the certificate information of the power consumer in the external data, so as to enrich and improve the information of the target customer group or the target customer obtained subsequently, but the invention is not limited thereto.
With continued reference to fig. 1, the target client identifying unit 1203 includes: extracting the target customer group of the energy product according to the industry of the power consumer and the price of electricity; and/or extracting the target customer group by performing text analysis on the user name of the power user; and classifying and identifying the target clients according to the basic attribute data and the energy utilization data corresponding to the target client group.
It will be appreciated that in some other embodiments, the electrical energy product comprises: the system comprises one or any combination of an energy management system, an electric boiler, a heat pump, energy storage equipment, combined cooling heating and power supply and a solar photovoltaic power generation system.
Specifically, in this embodiment, the target customer identification unit 1203 may determine the target customer group range of the energy product according to the industry of the electric power consumer and the electricity price in the internal data; or obtaining the target customer group information by performing text parsing on the username of the power consumer, but the invention is not limited thereto.
Specifically, the target customer identification unit may further classify and identify the target customer group according to the basic attribute data and the energy data to obtain identification results of different types of target customers, for example, the categories of the target customers may be classified into semiconductor enterprises, chemical enterprises, hospitals, schools, rail transit units, municipal lighting units, commercial complexes, industrial parks, scientific and technological parks, and the like, but the present invention is not limited thereto.
In this embodiment, since the electric power energy products are of a plurality of types, different types of electric power energy products need to be popularized to the corresponding target customers. For example, the energy management system and the energy storage device can be recommended to a semiconductor enterprise, the electric boiler, the heat pump, the energy storage device or the solar photovoltaic power generation system can be recommended to a chemical enterprise, a hospital or a school, the energy storage device or the solar photovoltaic power generation system can be recommended to a rail transit unit and a municipal lighting unit, the energy storage device, the combined cooling, heating and power supply and the solar photovoltaic power generation system can be recommended to a commercial complex, the energy management system, the electric boiler, the energy storage device, the combined cooling, heating and power supply or the solar photovoltaic power generation system can be recommended to an industrial park, and the energy management system, the energy storage device or the solar photovoltaic power generation system can be recommended to.
In summary, according to the electric power market expanding system provided by this embodiment, the electric power demand response module can identify potential customers responding to the electric power demand in the electric power consumer, and the electric power energy product module can identify target customers of the electric power energy product in the electric power consumer, so that the customer market responding to the electric power demand is effectively expanded, the corresponding electric power energy product is recommended to the target customers, and further the electric power market is expanded. Meanwhile, the electric power market expanding system provided by the embodiment screens and identifies potential customers and target customers through an automatic technical means, so that the identification efficiency and accuracy can be greatly improved, and conditions are provided for rapidly expanding the electric power market.
While the present invention has been described in detail with reference to the preferred embodiments, it should be understood that the above description should not be taken as limiting the invention. Various modifications and alterations to this invention will become apparent to those skilled in the art upon reading the foregoing description. Accordingly, the scope of the invention should be determined from the following claims.
Claims (10)
1. An electric power market expansion system, comprising:
a power demand response module (110) for identifying potential customers of a power demand response among power consumers to expand a customer market for the power demand response; and
an electric energy product module (120) for identifying a target customer of an electric energy product among the electricity consumers to expand a customer market of the electric energy product.
2. The power market expansion system of claim 1, wherein the power demand response module (110) comprises:
a first data acquisition unit (1101) for acquiring energy consumption data of the power consumer and historical participation data in response to the power demand;
a first data processing unit (1102) for acquiring demand response data of the power consumer according to the energy consumption data and the historical participation data;
a potential customer identification unit (1103) for identifying the potential customer of the power demand response from the power consumer according to the demand response data; and
and the precision evaluation unit (1104) is used for carrying out precision evaluation on the identification result of the potential customer.
3. The power market expansion system according to claim 2, characterized in that the potential customer identification unit (1103) comprises:
acquiring the response quantity of the power consumer according to the demand response data and preset conditions;
and identifying the potential users of the power demand response in the power users by adopting an RFM model according to the demand response data and the response quantity.
4. The power market expansion system of claim 3, wherein the preset conditions include: a time period and a demand type of the power demand response; the demand types include peak clipping and valley filling.
5. A power market expansion system according to any one of claims 2 to 4 wherein the demand response data includes: power equipment or system data, production law data, demand response capability, and load characteristics.
6. The electric power market expansion system according to claim 1, characterized in that the electric power energy product module (120) comprises:
the second data acquisition unit (1201) is used for acquiring basic attribute data and energy consumption data of the power consumer; and
a target customer identification unit (1203) for identifying the target customer of the energy product from the electricity consumer based on the base attribute data and the energy usage data.
7. The power market expansion system of claim 6 wherein the base attribute data comprises: internal data and external data;
the internal data comprises the name, industry, electricity utilization category and electricity price of the power consumer in the power system;
the external data comprises the name of the power consumer, certificate information, industry and commerce classification and operation range.
8. The power market expansion system according to claim 7, wherein the target customer identification unit (1203) comprises:
extracting the target customer group of the energy product according to the industry of the power consumer and the price of electricity; and/or extracting the target customer group by performing text analysis on the user name of the power user;
and classifying and identifying the target clients according to the basic attribute data and the energy utilization data corresponding to the target client group.
9. The electric power market expansion system according to claim 7, characterized in that the electric power energy product module (120) further comprises: a second data processing unit (1202); the second data processing unit (1202) is used for matching the internal data and the external data of the power consumer so as to perfect the information of the target customer.
10. An electric power market expansion system according to any one of claims 6 to 9 wherein the electric power energy product comprises: the system comprises one or any combination of an energy management system, an electric boiler, a heat pump, energy storage equipment, combined cooling heating and power supply and a solar photovoltaic power generation system.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016077051A (en) * | 2014-10-03 | 2016-05-12 | 株式会社東芝 | Demand response amount distribution system |
| CN106022646A (en) * | 2016-06-08 | 2016-10-12 | 国网上海市电力公司 | Electric power user information data analysis system and analysis method |
| CN108629500A (en) * | 2018-04-28 | 2018-10-09 | 国网河南省电力公司经济技术研究院 | One kind changing power customer comprehensive value appraisal procedure under background suitable for new electricity |
| CN108764663A (en) * | 2018-05-15 | 2018-11-06 | 广东电网有限责任公司信息中心 | A kind of power customer portrait generates the method and system of management |
| CN108764584A (en) * | 2018-06-05 | 2018-11-06 | 国网浙江省电力有限公司 | A kind of enterprise electrical energy replacement potential evaluation method |
| CN110930198A (en) * | 2019-12-05 | 2020-03-27 | 佰聆数据股份有限公司 | Electric energy substitution potential prediction method and system based on random forest, storage medium and computer equipment |
| CN111582655A (en) * | 2020-04-14 | 2020-08-25 | 广东卓维网络有限公司 | Power utilization system based on multi-user schedulable potential analysis |
-
2020
- 2020-10-13 CN CN202011090626.8A patent/CN112232910A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016077051A (en) * | 2014-10-03 | 2016-05-12 | 株式会社東芝 | Demand response amount distribution system |
| CN106022646A (en) * | 2016-06-08 | 2016-10-12 | 国网上海市电力公司 | Electric power user information data analysis system and analysis method |
| CN108629500A (en) * | 2018-04-28 | 2018-10-09 | 国网河南省电力公司经济技术研究院 | One kind changing power customer comprehensive value appraisal procedure under background suitable for new electricity |
| CN108764663A (en) * | 2018-05-15 | 2018-11-06 | 广东电网有限责任公司信息中心 | A kind of power customer portrait generates the method and system of management |
| CN108764584A (en) * | 2018-06-05 | 2018-11-06 | 国网浙江省电力有限公司 | A kind of enterprise electrical energy replacement potential evaluation method |
| CN110930198A (en) * | 2019-12-05 | 2020-03-27 | 佰聆数据股份有限公司 | Electric energy substitution potential prediction method and system based on random forest, storage medium and computer equipment |
| CN111582655A (en) * | 2020-04-14 | 2020-08-25 | 广东卓维网络有限公司 | Power utilization system based on multi-user schedulable potential analysis |
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