Electric power user analysis method, device and electronic device based on big data analysis

A technology of power users and analysis methods, which is applied in the field of power, can solve problems affecting the construction of power consumption behavior analysis and forecasting models of users, difficult to resemble user groups, etc., and achieve the effect of accurately implementing demand response strategies

Inactive Publication Date: 2019-01-04
罗孚电气(厦门)有限公司
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Problems solved by technology

These classification methods often only include individual common attributes for users in a group, and it is difficult to truly form a similar user group that includes multiple attributes such as individual attribute electricity consumption behavior and Internet behavior, which in turn affects the analysis and prediction model of user electricity consumption behavior based on group characteristics. build

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  • Electric power user analysis method, device and electronic device based on big data analysis
  • Electric power user analysis method, device and electronic device based on big data analysis
  • Electric power user analysis method, device and electronic device based on big data analysis

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Embodiment Construction

[0080] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0081] It should be clear that the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0082] figure 1 The embodiment of the present invention provides a flow chart of the steps of the power user analysis method based on big data analysis, including:

[0083] Step S110, according to a plurality of pre-set user tags generated based on at least two dimensions, match the corresponding user tags for each user in the power grid, and use each user as a network node to build the relationship between power users and their tags The internet.

[0084] In one of the embodiments, it is preferred to generate user...

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Abstract

The embodiment of the invention discloses a power user analysis method, a device and an electronic device based on big data analysis. The method comprises the following steps: according to a pluralityof preset user tags generated based on at least two dimensions, matching corresponding user tags for each user in the power network, and taking each user as a network node to construct a relationshipnetwork of power users and their tags; calculating a correlation degree between any two nodes in the relational network; according to the degree of correlation between any two nodes in the network, the nodes being merged to form a plurality of user groups; determining group label attributes and power consumption behavior characteristics of each user group. The invention is convenient to provide personalized power consumption service for electric power users, precisely implement demand response strategy, and thoroughly discover customer value.

Description

technical field [0001] The present invention relates to the field of electric power, in particular to a power user analysis method, device and electronic equipment based on big data analysis. Background technique [0002] At present, with the development of energy Internet and intelligent power consumption technology, it has become an important research content of "Internet +" smart energy to deeply understand the characteristics of power user groups and provide precise power services. [0003] At present, most of the analysis methods for power user groups are based on historical load data, establishing load identification and forecasting models based on artificial intelligence methods, and then using clustering methods to realize user group analysis based on electricity consumption behavior, or based on industries or fields, etc. The user attributes subdivide the power users, and then form the relationship of group attributes. These classification methods often only includ...

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Application Information

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IPC IPC(8): G06Q50/06G06Q30/00
CPCG06Q30/01G06Q50/06Y04S10/50
Inventor 刘宗健张振兵
Owner 罗孚电气(厦门)有限公司
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