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Issue No.02 - March/April (2011 vol.26)
pp: 9-17
Zita Vale , Polytechnic Institute of Porto, Portugal
Tiago Pinto , Polytechnic Institute of Porto, Portugal
Isabel Praça , Polytechnic Institute of Porto, Portugal
Hugo Morais , Polytechnic Institute of Porto, Portugal
ABSTRACT
<p>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.</p>
INDEX TERMS
Intelligent systems, power systems, electricity markets, intelligent agents, machine learning, modeling and prediction, multiagent systems, simulation support systems
CITATION
Zita Vale, Tiago Pinto, Isabel Praça, Hugo Morais, "MASCEM: Electricity Markets Simulation with Strategic Agents", IEEE Intelligent Systems, vol.26, no. 2, pp. 9-17, March/April 2011, doi:10.1109/MIS.2011.3
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