Power Marketing Inspection and Anti-stealing Power Based on the Clustering and Correlation Analysis

Abstract

Electricity marketing audits can maintain the order of electricity prices and regulate users’ electricity consumption behavior. With the use of intelligent collection terminals and management systems, clustering and correlation analysis methods can be used to monitor users’ electricity consumption behavior, and users can instantly discover electricity theft and illegal usage. Electricity behavior, using the K-means algorithm for quantitative data such as electricity bills and load to analyze whether there are abnormalities in the user’s electricity consumption, focusing on analyzing the active power, accumulated electricity, electricity bills, etc., and using the FP-Growth algorithm and Apriori algorithm for data extraction Analyze the user’s maintenance records and user types, analyze the user status, obtain the characteristics of the stealing users, make a form for correlation analysis, and form the typical characteristic fields of stealing, which can achieve good economic benefits.