Detection of User Electric Stealing Behavior Based on GA-BP Neural Network
In order to improve the accuracy of user stealing behavior detection results,a user stealing behavior de-tection method based on GA-BP neural network is proposed.The GA algorithm was used to optimize the weights and thresholds of the BP neural network,and a GA-BP neural network model was established.Simulation analysis was conducted using electricity consumption data from a certain area of power users.The results showed that the ac-curacy of the GA-BP neural network detection model in the detection process of user electricity theft behavior was as high as 95％,and the diagnostic effect was better.This verified the practicality and effectiveness of the proposed method in this article.
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