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2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'05)
Combinatorial Markets for Efficient Energy Management
Compi?gne University of Technology, France
September 19-September 22
ISBN: 0-7695-2416-8
Yoseba K. Penya, Department of Information Systems Vienna University of Economics and Business Administration, Austria.
Nicholas R. Jennings, School of Electronics and Computer Science University of Southampton Southampton, UK.

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 singleitem and multi-item algorithms for winner determination in such auctions that are significantly less complex than those currently available in the literature.

Citation:
Yoseba K. Penya, Nicholas R. Jennings, "Combinatorial Markets for Efficient Energy Management," iat, pp.626-632, 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'05), 2005
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