Adaptive learning in multiagent systems for automated energy contacts negotiation

Pinto, Tiago; Vale, Zita

http://hdl.handle.net/10400.22/18421

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Autores

Pinto, Tiago

Vale, Zita

Resumo(s)

This paper presents the Adaptive Decision Support for Electricity Markets Negotiations (AiD-EM) system. AiD-EM is a multi-agent system that provides decision support to market players by incorporating multiple sub-(agent-based) systems, directed to the decision support of specific problems. These sub-systems make use of different artificial intelligence methodologies, such as machine learning and evolutionary computation, to enable players adaptation in the planning phase and in actual negotiations in auction-based markets and bilateral negotiations.