Grey System Theory Based Default Risk Model of Power Clients
To be clear of the default probability of electricity fees from power clients in advance and change the postmortem management mode to the preventive management mode,it would decrease the default risk greatly in the process of electricity sales in the utility. Based on the analysis of complicated reasons of default, the main elements whose effect on default are known, the risk model involved with feature variables of default is constructed with the theory of grey system predication, then, by the grey cluster algorithm, we classified client into different categories according to the prediction of theirs feature variables, which would be valuable reference for power company to subdivide the consumption market and make out distinguishing credit management strategy.
H Zhou Y Wang W Wang T.Li H Yang
School of Electrical Power Engineering, Beijing Jiaotong University, China Department of Market, North China Power Grid Company,China
国际会议
2009 IEEE International Conference on Grey System and Intelligent Services(2009 IEEE灰色系统与服务科学国际会议)
南京
英文
521-524
2009-10-20（万方平台首次上网日期，不代表论文的发表时间）