• DocumentCode
    3530323
  • Title

    Efficient assessment of Electric Power company in Inner Mongolia by rule ensemble

  • Author

    Wei, Zhi-jun

  • Author_Institution
    Sch. of Manage., Tianjin Univ., Tianjin, China
  • Volume
    Part 3
  • fYear
    2011
  • fDate
    3-5 Sept. 2011
  • Firstpage
    1975
  • Lastpage
    1979
  • Abstract
    Evaluation of power enterprise has becoming a focus of electricity industry since market reformation. Operation datum of nine subsidiaries of Inner Mongolia Power Group Co., Ltd was collected. Indexes weights were obtained by AHP. Considering experts´ preferences, it is more reasonable to view weights as random variables. Assessment values of sample were calculated by simulation. Rule ensembles algorithm was applied to fit assessment function. The order of 9 constituent companies showed that the smallest Wuhai Electric Power-Supply Bureau had the most efficiency. Its operation experiences deserve extension.
  • Keywords
    electricity supply industry; power markets; Inner Mongolia; electric power company; electricity industry; market reformation; Algorithm design and analysis; Companies; Electricity; Indexes; Machine learning; Machine learning algorithms; Power systems; Power enterprise; comprehensive assessment; rule ensembles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-61284-446-6
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2011.6035555
  • Filename
    6035555