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MASCEM: Electricity Markets Simulation with Strategic Agents
March/April 2011 (vol. 26 no. 2)
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

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.

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Index Terms:
Intelligent systems, power systems, electricity markets, intelligent agents, machine learning, modeling and prediction, multiagent systems, simulation support systems
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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