标题:
基于熵权法和灰色关联法的电力客户信用风险评价研究Study on Credit Risk Evaluation of Power
Customers Based on Entropy Method and Grey Correlation Method
作者:
蒋伟, 陈强
关键字:
用电客户, 信用评价, 熵值法, 灰色关联分析法Electricity Customers, Credit Evaluation, Entropy Method, Gray Relative Analysis Method
期刊名称:
《Journal of Electrical Engineering》, Vol.2 No.2, 2014-06-03
摘要:
用电客户的信用评价是供电企业及全社会都应该关注的问题。电力客户的用电行为分析是市场研究的一个关键内容，尤其是其在电费缴纳过程的行为，直接影响电力公司的正常运营。本文在分析了用电客户信用评价应该考虑的主要因素的基础上，建立了一套适用于用电客户信用评价的指标体系，运用熵权法和灰色关联分析法对不同客户的信用风险进行评价。实例结果证明了该方法的有效性。
The evaluation of electricity customers’ credit is an issue which should be concerned by power supply enterprises and the whole society. The analysis of power customers’ behavior is a key to the study of the power market, the behavior in the process of electricity bills to pay especially important, which directly affects the normal operation of electric power. This paper establishes an index system based on the analysis of the main factors which suits electricity customers’ credit evaluation. The method uses the entropy method and the grey correlation analysis method to evaluate different customers’ credit risk. The results have shown that the proposed method is effective.