Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1532
Título: Bid definition method for electricity markets based on an adaptive multiagent system
Autor: Pinto, Tiago
Vale, Zita
Rodrigues, Fátima
Morais, H.
Praça, Isabel
Palavras-chave: Bid definition method
Electricity markets
Adaptive multiagent system
Data: 2011
Editora: Springer Berlin Heidelberg
Relatório da Série N.º: Advances in Intelligent and Soft Computing; Vol. 88
Resumo: Electricity markets are complex environments with very particular characteristics. MASCEM is a market simulator developed to allow deep studies of the interactions between the players that take part in the electricity market negotiations. This paper presents a new proposal for the definition of MASCEM players’ strategies to negotiate in the market. The proposed methodology is multiagent based, using reinforcement learning algorithms to provide players with the capabilities to perceive the changes in the environment, while adapting their bids formulation according to their needs, using a set of different techniques that are at their disposal. Each agent has the knowledge about a different method for defining a strategy for playing in the market, the main agent chooses the best among all those, and provides it to the market player that requests, to be used in the market. This paper also presents a methodology to manage the efficiency/effectiveness balance of this method, to guarantee that the degradation of the simulator processing times takes the correct measure.
URI: http://hdl.handle.net/10400.22/1532
ISBN: 978-3-642-19874-8
ISSN: 1867-5662
Versão do Editor: http://link.springer.com/chapter/10.1007%2F978-3-642-19875-5_39
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