电力需求侧管理Issue(5)：49-53,5.
基于BP神经网络电力大客户信用等级评价研究
Large power customer credit rating based on BP neural network
王宇哲 1雷霞 1陈晓盛 1黄贵鸿 1徐贵阳1
作者信息
- 1. 西华大学 电气与电子信息学院，成都 610039
- 折叠
摘要
Abstract
The risk of electricity charges collection plays an important role in electricity safety risk management for power sup⁃ply enterprises, while the aversion of the former partially depends on large power customers��credit management. In order to help en⁃terprises reduce risks and provide evidence for offering power cus⁃tomers diversified services, this paper constructs an index system based on the situation of power customer industry, the historical credit record of customers and enterprises��finance. And by mathe⁃matical method of AHP, this paper classifies large power custom⁃ers into five credit ratings as the objective value of BP neural net⁃work. BP neural network can make assessments of enterprises��credit ratings. Finally, through data collection in electric power company, it proves the feasibility of the method. Initially sets up the early warning system of large power customer risk management.关键词
电力大客户/信用等级/层次分析法/BP神经网络/风险预警管理系统Key words
large power customers/credit rating/AHP/BP neural network technology/risk early warning system分类
管理科学引用本文复制引用
王宇哲,雷霞,陈晓盛,黄贵鸿,徐贵阳..基于BP神经网络电力大客户信用等级评价研究[J].电力需求侧管理,2015,(5):49-53,5.
