• DocumentCode
    2020296
  • Title

    Energy Loss Analysis Based on Fuzzy Association Rule Mining in Power Plant

  • Author

    Li, Jian-qiang ; Niu, Cheng-Lin ; Gu, Jun-jie ; Liu, Ji-zhen

  • Author_Institution
    North China Electr. Power Univ., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    17-18 Oct. 2008
  • Firstpage
    186
  • Lastpage
    189
  • Abstract
    The rational determination of operation optimization values is very important to economical analysis and operation optimization in power plant. Based on the correlation of operation data, the economical analysis and operation optimization based on data mining was proposed to guide the operation optimization. The basic structure of economical analysis and operation optimization based on data mining was established and the fuzzy association rule mining was introduced to determine the operation optimization value. The deviation analysis and optimal operation guidance were carried out based on the optimal values obtained by data mining to guide the optimal operation in power plant. Experiment results show that the economical analysis and operation optimization based on data mining can guide the operator to make better adjustments and improve the economic efficiency greatly in power plant.
  • Keywords
    data mining; power system analysis computing; power system economics; thermal power stations; data mining; economical analysis; energy loss analysis; fuzzy association rule mining; operation optimization; power plant; Association rules; Data acquisition; Data mining; Energy loss; Environmental economics; Fuzzy sets; Performance analysis; Power generation; Power generation economics; Power system economics; Data Mining; Energy Loss Analysis; Fuzzy Association Rule Mining; Operation Optimization; Power Plant;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3311-7
  • Type

    conf

  • DOI
    10.1109/ISCID.2008.184
  • Filename
    4725587