In view of the current situation that the phenomenon of power pilferage is common and the difficulty of anti-theft, a BP (Back Propagation) neural network steal detection method optimized by whale algorithm is proposed. This method detects the power theft behavior through the power trend decline index, line missing index, and problem index, and optimizes it with the whale algorithm since BP neural network algorithm to raise its accuracy. The experimental results show that the whale algorithm capable of optimizing the BP neural network well. Among them, the MAE and MSE were reduced by 0.02, and the RMSE error was reduced from 0.215 to 0.16. Therefore, the model can detect the theft behavior well, which provides a certain reference value for the research of anti-theft.
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