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Peak clipping and valley filling-oriented electricity utilization behavior analysis method and system

A technology of peak-shaving and valley-filling and behavior analysis, which is applied in the field of power consumption analysis, can solve problems such as the accuracy of impact analysis conclusions, unsatisfactory application effects, and too simple methods, so as to improve customer satisfaction, reduce operational risks, and improve The effect of accuracy

Inactive Publication Date: 2016-10-12
BEIJING CHINA POWER INFORMATION TECH +3
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Problems solved by technology

The expert experience method is a simple and convenient method, but it also has obvious shortcomings and deficiencies: it is greatly affected by human subjective factors, such as the professional level and authority of experts, etc., which may affect the accuracy of the analysis conclusion degree
[0007] To sum up, the traditional method is too simple and can analyze electricity consumption behavior to a certain extent, but the application effect is not very ideal in the case of massive data

Method used

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  • Peak clipping and valley filling-oriented electricity utilization behavior analysis method and system
  • Peak clipping and valley filling-oriented electricity utilization behavior analysis method and system
  • Peak clipping and valley filling-oriented electricity utilization behavior analysis method and system

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Embodiment Construction

[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0052] Such as figure 1 As shown, it is a method of analyzing power consumption behavior for peak-shaving and valley-filling disclosed in Embodiment 1 of the present invention, including:

[0053] S101. Clustering the main network load data in the historical period using the maximum expectation algorithm, and obtaining the clustering results of the load in different dates in the historical period;

[0054] When it is necessary to analyze the user's electricit...

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Abstract

The invention discloses a method for analyzing power consumption behavior oriented towards peak shaving and valley filling, which includes: clustering the load data of the main network in the historical period using the maximum expectation algorithm, and obtaining the clustering results of the load on different dates in the historical period; The point-by-point load data of users included in each group is subjected to a parallel hard clustering algorithm to obtain the grouping results of users under different date groups; compare the load characteristics of the main network date group with the grouping results of users under the date group Load characteristics, to obtain the matching results of peak-shaving and valley-filling patterns of users on different dates in history and the target objects of peak-shifting electricity consumption. The invention can analyze the electricity consumption behavior of users under massive data, thereby improving the accuracy of user behavior positioning, and providing decision-making reference for more effective customer service, improvement of customer satisfaction, and reduction of operational risks. The invention also discloses an electricity consumption behavior analysis system oriented towards peak shaving and valley filling.

Description

technical field [0001] The present invention relates to the technical field of electricity consumption analysis, in particular to an analysis method and system for electricity consumption behavior oriented towards peak shaving and valley filling. Background technique [0002] With the deepening application of the electricity collection system and the continuous improvement of customer basic information, there are more and more types of data, and the degree of refinement of the data is getting higher and higher. The power information data is showing an explosive growth trend. The era of big data in the power industry has passed arrival. At present, these data are mainly used to assist decision-making in the internal marketing business of power companies, and the data value of massive power consumption information has not been fully tapped and reflected. [0003] At present, most of the following methods are directly used for the analysis of power consumption behavior: [00...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/06
CPCG06Q50/06
Inventor 刘建赵加奎李宏发黄秋岑刘芳刘玉玺方红旺欧阳红郝庆利卢耀宗程华福
Owner BEIJING CHINA POWER INFORMATION TECH
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