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Issue No. 02 - March/April (2011 vol. 26)
ISSN: 1541-1672
pp: 9-17
Tiago Pinto , Polytechnic Institute of Porto, Portugal
Hugo Morais , Polytechnic Institute of Porto, Portugal
Zita Vale , Polytechnic Institute of Porto, Portugal
Isabel Praça , 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
Tiago Pinto, Hugo Morais, Zita Vale, Isabel Praça, "MASCEM: Electricity Markets Simulation with Strategic Agents", IEEE Intelligent Systems, vol. 26, no. , pp. 9-17, March/April 2011, doi:10.1109/MIS.2011.3
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