Pearson Correlation Coefficient and MLP-based Charge Arrear Risk Alert Algorithm
The risk warning of user electricity bill recovery is a difficult problem in the operation of power companies.This work presents a risk warning method for multi-layer perceptron (MLP).The Pearson correlation coefficient is used to ex-tract the characteristics of the factors of electricity charge recovery risk warning based on MLP.In addition,comparison of the proposed algorithm with the conventional logistic regression algorithm on a set of real data indicates its high perform-ance.The results show that the prediction accuracy of the proposed algorithm reaches 92.31％,which can provide early warning for power enterprises in the management of electricity customers.
万方数据
维普
