电工技术2024,Issue(20) :59-62.DOI:10.19768/j.cnki.dgjs.2024.20.016

基于Pearson相关系数与MLP的电费拖欠风险预警算法

Pearson Correlation Coefficient and MLP-based Charge Arrear Risk Alert Algorithm

安迪 张馨宇
电工技术2024,Issue(20) :59-62.DOI:10.19768/j.cnki.dgjs.2024.20.016

基于Pearson相关系数与MLP的电费拖欠风险预警算法

Pearson Correlation Coefficient and MLP-based Charge Arrear Risk Alert Algorithm

安迪 1张馨宇2
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作者信息

  • 1. 国网江苏省电力有限公司丰县供电分公司,江苏 徐州 221000
  • 2. 华设设计集团,江苏 南京 210000
  • 折叠

摘要

用户电费回收风险预警是电力公司运营中的一个难题,为此提出了一种基于多层感知机(MLP)的电费回收风险预警方法.首先,利用Pearson相关系数对影响电力客户拖欠电费的因素进行特征提取;然后,提出并描述了基于MLP的电费回收风险预警具体流程;最后,在一组实际数据上与传统的logistic回归算法对比,证明该方法的高效性.对比结果显示,该算法的预测精度达到了92.31%,可为供电单位在风险客户管理上提供预警.

Abstract

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.

关键词

电费拖欠/预警方法/Pearson相关系数/多层感知机/逻辑回归/特征提取

Key words

electricity charge arrears/early warning method/Pearson correlation coefficient/MLP/logical regression/feature extraction

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出版年

2024
电工技术
重庆西南信息有限公司(原科技部西南信息中心)

电工技术

影响因子:0.177
ISSN:1002-1388
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