• DocumentCode
    2129208
  • Title

    Power customer credit rating based on FCM and the differential marketing strategy research

  • Author

    Chuansheng, Xie ; Xin, Xu ; Wentian, Hou

  • Author_Institution
    School of economics and management, North China Electric Power University, Beijing, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    416
  • Lastpage
    418
  • Abstract
    Electric power customers are strategic center of power supply enterprise. The timely recovery of electricity charge and other receivables are the main sources of achieving operating efficiency and obtaining power grid construction and maintenance costs. So how to assess power customer´s credit rating and carry out credit risk management become important to the operation of electric power companies. The FCM method could analyze and classify the customer credit which provided the quantitative basis for characteristics analysis of the customers and obtained the satisfactory customer clustering and classification. The differential marketing strategies based on power customer credit rating were put forward to make better applied to real work.
  • Keywords
    Algorithm design and analysis; Classification algorithms; Clustering algorithms; Companies; Electricity; Power supplies; FCM (Fuzzy c-mean); credit rating; electric power customer; marketing strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5690455
  • Filename
    5690455