Actas de congresos
Evolving Fuzzy Bidding Strategies In Competitive Electricity Markets
Registro en:
Proceedings Of The Ieee International Conference On Systems, Man And Cybernetics. , v. 4, n. , p. 3976 - 3981, 2003.
8843627
2-s2.0-0242721431
Autor
Walter I.
Gomide F.
Institución
Resumen
This paper suggests an evolutionary approach to generate bidding strategies for power auctions. Bidding strategies are represented by fuzzy rule-based systems due to its transparency and ability to naturally handle imprecision in input data, a key issue in biding environments. Evolution of bidding strategies uncovers unknown and unexpected agent behaviors and allows a richer analysis of auction mechanisms and their role as a coordination protocol. Specific genetic operators have been developed in this paper. Simulation experiments show that the evolutionary, genetic-based design approach evolves strategies that enhances agents profitability when compared with the marginal cost-based approaches commonly adopted by agents in power markets. 4
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