Power consumer subdivision method based on combined matrix decomposition model

A joint matrix and power user technology, applied in data processing applications, character and pattern recognition, instruments, etc., can solve the lack of comprehensive analysis and other problems

Inactive Publication Date: 2016-03-30
STATE GRID TIANJIN ELECTRIC POWER +1
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Problems solved by technology

User data usually includes information such as the user's electricity consumption behavior, geographic location, time, date, etc., but the current user data analysis, the more common method is to use clustering algorithms to cla

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  • Power consumer subdivision method based on combined matrix decomposition model
  • Power consumer subdivision method based on combined matrix decomposition model
  • Power consumer subdivision method based on combined matrix decomposition model

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Embodiment Construction

[0093] The power user subdivision method based on the joint matrix decomposition model provided by the present invention will be described in detail below with reference to the drawings and specific embodiments.

[0094] Such as figure 1 As shown, the present invention mainly uses the data mining theory and method to analyze the users in the power data. In order to ensure the normal operation of the system, in the specific implementation, it is required that the computer platform used is equipped with no less than 8G of memory, and the number of CPU cores No less than 4 64-bit operating systems with a main frequency of no less than 2.6GHz, Windows 7 and above, and the necessary software environments such as Oracle database, Java 1.7 and above, and Matlab 2011b and above.

[0095] Such as figure 2 As shown, the power user subdivision method based on the joint matrix factorization model provided by the present invention includes the following steps performed in order:

[0096...

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Abstract

The invention discloses a power consumer subdivision method based on a combined matrix decomposition model. The method comprises the steps: inputting user power utilization record data, and constructing a user power utilization record matrix; inputting the geographical position information of the user, representing the geographical position information through hierarchy, constructing a user geographical position information similarity matrix, and regulating the weights of different parts in the geographical position information at different hierarchies; constructing a target function of the combined matrix decomposition model according to the user power utilization record matrix, and selecting a reasonable target function solving algorithm for solving, so as to obtain the power utilization demands of users; and carrying out the subdividing of the users according to the power utilization demands of the users. Compared with a conventional method, the method enables the representation of the users in a demand space to be more abundant in meaning. The method employs a clustering algorithm, integrates the characteristics of the users in a demand hiding space and the relation among the users for clustering of the users, and enables the correlation of users in each cluster to be closer. The power utilization demands and geographic positions of the users of different clusters are more different.

Description

technical field [0001] The invention belongs to the technical fields of computer application technology, data mining and electric power data analysis, and in particular relates to a method for subdividing electric power users based on a joint matrix decomposition model. Background technique [0002] With the improvement of power grid informatization level, a large amount of data is generated in the power system, which also brings new challenges to the analysis of power data. Traditional power data analysis focuses on the research of data generated in production and power supply links, and the analysis of user data is often aimed at all users, thus ignoring the characteristics of users themselves and the relationship between users. User data usually includes information such as the user's electricity consumption behavior, geographic location, time, date, etc., but the current user data analysis, the more common method is to use clustering algorithms to classify users based on...

Claims

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Application Information

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IPC IPC(8): G06Q50/06G06K9/62
CPCG06Q50/06G06F18/23
Inventor 王扬刘杰吴凡章斌魏睐杨得博梅振鹏郎赫
Owner STATE GRID TIANJIN ELECTRIC POWER
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