• DocumentCode
    2863738
  • Title

    Combinatorial markets for efficient energy management

  • Author

    Penya, Yoseba K. ; Jennings, Nicholas R.

  • Author_Institution
    Dept. of Inf. Syst., Vienna Univ. of Econ. & Bus. Admin., Austria
  • fYear
    2005
  • fDate
    19-22 Sept. 2005
  • Firstpage
    626
  • Lastpage
    632
  • Abstract
    The deregulation of the electricity industry in many countries has created a number of marketplaces in which producers and consumers can operate in order to more effectively manage and meet their energy needs. To this end, this paper develops a new model for electricity retail where end-use customers choose their supplier from competing electricity retailers. The model is based on simultaneous reverse combinatorial auctions, designed as a second-price sealed-bid multi-item auction with supply function bidding. This model prevents strategic bidding and allows the auctioneer to maximise its payoff. Furthermore, we develop optimal single-item and multi-item algorithms for winner determination in such auctions that are significantly less complex than those currently available in the literature.
  • Keywords
    customer services; electronic commerce; optimisation; power markets; retail data processing; combinatorial markets; electricity industry; electricity retailers; energy management; multiitem algorithm; optimal single-item algorithm; reverse combinatorial auction; second-price sealed-bid multiitem auction; supply function bidding; winner determination; Consumer electronics; Costs; Electricity supply industry; Electricity supply industry deregulation; Energy management; Industrial electronics; Management information systems; Power generation; Power generation economics; Production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
  • Print_ISBN
    0-7695-2416-8
  • Type

    conf

  • DOI
    10.1109/IAT.2005.54
  • Filename
    1565614