User classification method and system based on power distribution and utilization big data

A technology for power users and users, which is applied in the direction of instruments, calculations, character and pattern recognition, etc., can solve problems such as too many iterations, insufficient urgency within a class, and immature research on power user classification, so as to improve efficiency and reduce calculations The effect of volume and complexity

Pending Publication Date: 2020-03-03
CHINA ELECTRIC POWER RES INST +2
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Problems solved by technology

Although the situation of massive power data is considered, the tightness within the class after clustering is not enough and the number of iterations is large
It can be seen that the research on power user classification under the big data environment is still very immature.

Method used

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  • User classification method and system based on power distribution and utilization big data
  • User classification method and system based on power distribution and utilization big data
  • User classification method and system based on power distribution and utilization big data

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Embodiment Construction

[0052] The specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0053] In order to make the purpose, 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 in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. 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.

[0054] A user classification method based on big data of power distribution and consumption provided by the present invention, such as figure 1 shown, including:

[0055] The dimensionality red...

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Abstract

The invention relates to a user classification method and system based on power distribution and utilization big data. The method comprises the following steps: determining a dimensionality reductionmatrix of an adjustable power user electric quantity matrix through employing the adjustable power user electric quantity matrix, and classifying users in the dimensionality reduction matrix of the adjustable power user electric quantity matrix; according to the technical scheme provided by the invention, the user classification of the adjustable power users can be realized, the existing power user data is utilized, the users are classified after being screened, and the calculation amount and the complexity of a user classification algorithm can be reduced.

Description

technical field [0001] The invention relates to the field of intelligent substation protection, in particular to a user classification method and system based on big data of power distribution and consumption. Background technique [0002] In the energy industry, smart grid is regarded as one of the important technical fields of big data application. According to different sources, smart power distribution big data can be divided into internal data of power companies (dispatch monitoring, distribution network management, power consumption data) and external data. The internal data of electric power enterprises are generated from power distribution management system, production management system, power consumption information collection system, power marketing system, customer service information system, etc. These data include static data, real-time data, and historical data. Static data includes power grid equipment model parameters, line topology, power user profile data,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/23213G06F18/213G06F18/24
Inventor 田世明卜凡鹏张勇凌平苏运郭乃网
Owner CHINA ELECTRIC POWER RES INST
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