• DocumentCode
    2113857
  • Title

    A Preliminary Experimental Analysis on Combinatorial Auction-Based Electric Power Allocation for Manufacturing Industries

  • Author

    Fukuta, Naoki ; Ito, Takao

  • Author_Institution
    Fac. of Inf., Shizuoka Univ., Shizuoka, Japan
  • Volume
    3
  • fYear
    2012
  • fDate
    4-7 Dec. 2012
  • Firstpage
    394
  • Lastpage
    398
  • Abstract
    In this paper, we discuss about a preliminary idea and an analysis about a dynamic electric power auction for manufacturing industries. We present a preliminary idea about applying multi-unit combinatorial auctions to an electric power allocation problem that considers guaranteeing stable continuous use of the supplied power in industrial manufacturers. We try to illustrate how such a mechanism can be applied to actual electric power allocation problems when we consider the situation that each manufacturing factories produce bids based on their own plans of production and the use of electricity in a day, guaranteeing stable continuous use of them. An approximation mechanism has been applied for a large-scale auction problem to overcome its computational intractability. We discuss about a possible performance based on our proposed evaluation dataset which consider actual power use scenarios in industrial factories.
  • Keywords
    electronic commerce; manufacturing industries; approximation mechanism; combinatorial auction-based electric power allocation; computational intractability; dynamic electric power auction; evaluation dataset; industrial factories; large-scale auction problem; manufacturing industries; multiunit combinatorial auctions; preliminary experimental analysis; algorithm; approximation; auction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012 IEEE/WIC/ACM International Conferences on
  • Conference_Location
    Macau
  • Print_ISBN
    978-1-4673-6057-9
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2012.221
  • Filename
    6511715