journal6 ›› 2005, Vol. 26 ›› Issue (2): 94-97.

• 计算机 • 上一篇    下一篇

客户交纳电费信用与风险等级评定

  

  1. (湖南大学电气与信息工程学院,湖南 长沙 410082)
  • 出版日期:2005-04-15 发布日期:2012-09-22
  • 作者简介:谷林峰(1979-),男,湖南省长沙市人,湖南大学电气与信息工程学院硕士生,主要从事电力市场经济及其需求管理研究;姚建刚(1952-),男,湖南省望城县人,湖南大学教授、博导,从事电力市场经济及其软件支持等研究.

Credit and Risk Rank Evaluation for Consumer Paying Electric Power Charges

  1. (College of Electrical and Information Engineering,Hunan University,Changsha 410083,China)
  • Online:2005-04-15 Published:2012-09-22

摘要:用电客户交纳电费信用与风险评定是供电企业保证电费债权安全性和有效性的重要手段.运用自动采集程序,从各电力公司或企业原有的营销系统和财务系统自动录入数据,再通过优化的模糊概率、神经网络程序,对客户进行交纳电费信用等级评定,建立客户交纳电费风险预警机制,并根据评价结果提出促进电费回收的分类管理措施,确保电力企业经营成果及时足额兑现.

关键词: 分类管理, 模糊优化, 信用等级评定, 风险预警

Abstract: Credit and risk rank evaluation for consumer paying electric power charges is an important means to guarantee the creditor's rights security and validity for power enterprises.This system utilizes the automatic collection procedure to gain data from power generation companies or enterprises’ original marketing and financial system,and then uses optimal fuzzy probability and neural network  to rank electrical fee credit for customers and establish electrical fee risk advance warning mechanism.Finally,according to the appraisal results,classification management measure is proposed to promote electrical fee recycling and guarantee power generation enterprises to fully cash their management products.

Key words: classified management, fuzzy optimization, credit rank evaluation, risk advance warning

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