• DocumentCode
    2159425
  • Title

    Power Customer Value Assessment Research Based on K-Means Method

  • Author

    Qin Xiangling ; Zeng Ming ; Liu Lin ; Yang Pengju

  • Author_Institution
    Res. Advisory Center of Energy & Electr. Econ., North China Electr. Power Univ., Beijing, China
  • fYear
    2009
  • fDate
    20-22 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Under the circumstance of electricity market reform, the concept of customer relationship management has been introduced to the power grid enterprises in China, and customer value is the core of this new concept. Power grid company related to all fields of society, which have to stress on social responsibility as well as the economic benefits of their own. This paper establishes customer value evaluation index system concerning customer current value and potential value considering the effect of social energy conservation on power customer. Order-depth analysis method is used to evaluate customer value. Interests sub-selection method and K-means method is employed in customers clustering from two dimensions of current and potential value. Empirical analysis is carried out based on the fact of a municipal power supply enterprise in Sichuan province.
  • Keywords
    customer relationship management; energy conservation; fuzzy set theory; power grids; power markets; K-means method; Sichuan province; clustering algorithm; customer relationship management; economic benefits; electricity market reform; empirical analysis; municipal power supply enterprise; order-depth analysis method; power customer value assessment; power grid enterprises; social energy conservation; subselection method; Companies; Customer relationship management; Electricity supply industry; Energy consumption; Energy management; Power generation economics; Power grids; Power system management; Power systems; Stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science, 2009. MASS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4638-4
  • Electronic_ISBN
    978-1-4244-4639-1
  • Type

    conf

  • DOI
    10.1109/ICMSS.2009.5304248
  • Filename
    5304248