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Issue No. 02 - March/April (2011 vol. 26)
ISSN: 1541-1672
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

T. Pinto, H. Morais, Z. Vale and I. Praça, "MASCEM: Electricity Markets Simulation with Strategic Agents," in IEEE Intelligent Systems, vol. 26, no. , pp. 9-17, 2011.
doi:10.1109/MIS.2011.3
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