Power consumption behavior analysis method

Abstract

The invention relates to a power consumption behavior analysis method. The method comprises: obtaining power address data, inputting the power utilization address data into a trained address preprocessing model, and obtaining segmented words and entity information of the power utilization address; according to a trained address normalization model, performing structured processing and similarity calculation on the segmented words and the entity information of the power utilization address to obtain a standard structured address; and then performing feature optimization and clustering analysison the standard structured address to obtain an optimal feature set and a power utilization address classification result, and performing mining analysis by adopting an association analysis algorithmbased on the optimal feature set and the power utilization address classification result to obtain a power utilization behavior analysis result. According to the process, normalization processing is carried out on the power utilization addresses, the problem that the quality requirement of source data is high can be effectively solved, the difficulty of feature selection is reduced, association analysis is carried out in combination with the optimal feature set and the power utilization address classification result, power utilization groups in different areas can be effectively discriminated,and a more comprehensive power utilization behavior analysis result is provided.

Description

technical field [0001] The present application relates to the technical field of power grids, and in particular to a method, device, computer equipment and storage medium for analyzing power consumption behavior. Background technique [0002] With the in-depth exploration and reform of my country's electric power system, and the continuous acceleration of the power marketization process, in the power marketing business, it is necessary to formulate corresponding dispatching and service strategies for different customer groups, and guide the demand side management of power consumption through the analysis of power consumption behavior . [0003] At present, the existing electricity consumption behavior analysis methods are usually based on big data or clustering methods to analyze user electricity consumption data. This analysis method has high requirements on the quality of source data, and it is difficult to select features and cannot be targeted. Uncertainly select feature...

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to provide a more comprehensive power consumption behavior analysis method, device, computer equipment and storage medium for the problem that the existing power consumption behavior analysis method is not comprehensive.

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