Arrears Forewarning Model for Power Clients Based on Grey System Theory
To be clear the default probability of electricity fees from power clients in advance and change the postponed management mode from to the advanced management mode, 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 influenced factors as well as theirs effect on default is known, the forewarning model involved feature variables of default is constructed with the theory of Grey system predication, then, by the Grey cluster algorithm, which category that the client would be classified into would be discriminated according to the predicted value of theirs feature variables, which would be valuable reference for power company to Subdivision the customers market and make out the different credit management strategy.
Electricity Sales credit indices Arrears Forewarn Grey system predication model Grey Cluster Market Subdivision
H. Zhou Y. Wang W. Wang T. Li H. Yang
School of Electric Engineering, Beijing Jiaotong University, 100044 Market Department, North of China Electric Power Grid Limited Company, 100053
国际会议
北京
英文
792-797
2007-08-18（万方平台首次上网日期，不代表论文的发表时间）