MASCEM: Electricity Markets Simulation with Strategic Agents

Authors:
Zita Vale;Tiago Pinto;Isabel Praca;Hugo Morais
Affiliations:
Polytechnic Institute of Porto, Portugal;Polytechnic Institute of Porto, Portugal;Polytechnic Institute of Porto, Portugal;Polytechnic Institute of Porto, Portugal
Venue:
IEEE Intelligent Systems
Year:
2011

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Abstract

MASCEM uses reinforcement learning algorithms to provide players with strategic capabilities in electricity markets, helping them react to the dynamic environment and adapt their bids accordingly.