Please use this identifier to cite or link to this item:
Type: Artigo de evento
Title: Evolving Fuzzy Bidding Strategies In Competitive Electricity Markets
Author: Walter I.
Gomide F.
Abstract: 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.
Rights: fechado
Identifier DOI: 
Date Issue: 2003
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
2-s2.0-0242721431.pdf443.03 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.