• DocumentCode
    2482982
  • Title

    Analysis of Dominant Factors in Chinese Power Growth Based on Fuzzy Association Rules

  • Author

    Li, Zhiyong ; Shen, Min

  • Author_Institution
    Guangdong Electr. Power Design Inst., Guangzhou, China
  • fYear
    2010
  • fDate
    22-23 May 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The development of power system in developing countries can be affected by a great many parameters, hence it is necessary to identify the dominant factors, which are the most influential and typical. In this paper, 27 different variables were selected from statistics across China covering the period 1978-2008. By applying recently developed data mining techniques, interesting relationship between electricity consumption and influencing factors were obtained. Finally, four dominant factors as well as five sub-dominant factors were declared based on the confidence value of association rules.
  • Keywords
    data mining; fuzzy set theory; power consumption; power engineering computing; power systems; Chinese power growth; data mining; developing countries; dominant factor analysis; electricity consumption; fuzzy association rules; power system; Association rules; Data mining; Economic indicators; Energy consumption; Fuzzy sets; Fuzzy systems; Industrial economics; Industrial relations; Power generation economics; Power system economics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5872-1
  • Electronic_ISBN
    978-1-4244-5874-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2010.5473492
  • Filename
    5473492