2016 3rd International Conference on Information Science and Control Engineering (ICISCE 2016)

109 / 2016-04-25 18:52:04

Research and Application of Electricity Anti-stealing System Based on Neural Network

9919

For the backwardness of the power automation management in our country recent years, an anti-stealing mathematical model is introduced in this paper. Firstly, ten factors are selected to build the indictor evaluation system, data mining is used to process lots of the electricity data. Then, a mathematical model based on BP neural network for analyzing the customer’s consumption behavior is built. With the model, the suspicion coefficient of electricity stealing can be calculated, and the credit rating of power consumer is also classified. In this paper, some typical companies are selected to verify the electricity anti-stealing model, and come to a conclusion that it provides a feasible idea for the electricity stealing problem.