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Reinforcement Learning Based on the Bayesian Theorem for Electricity Markets Decision Support.

T. Sousa, T. Pinto, I. Praça, Z. Vale, and H. Morais. DCAI, volume 290 of Advances in Intelligent Systems and Computing, page 141-148. Springer, (2014)

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Dr. Isabel Plocher University of Stuttgart

Isabel Janowsky University of Stuttgart

Aya Isabel Kleine University of Stuttgart

Isabel Maria Pessanha Marcante University of Stuttgart

Other publications of authors with the same name

MASCEM: Electricity Markets Simulation with Strategic Agents.Z. Vale, T. Pinto, I. Praça, and H. Morais. IEEE Intelligent Systems, 26 (2): 9-17 (2011)Learning Business Strategies for Competitive Electronic Marketplaces.I. Praça, M. Viamonte, C. Ramos, and Z. Vale. AINA Workshops (2), page 611-616. IEEE Computer Society, (2007)Solar Intensity Characterization Using Data-Mining to Support Solar Forecasting.T. Pinto, G. Santos, L. Marques, T. Sousa, I. Praça, Z. Vale, and S. Abreu. DCAI, volume 373 of Advances in Intelligent Systems and Computing, page 193-201. Springer, (2015)Strategic bidding in electricity markets: An agent-based simulator with game theory for scenario analysis.T. Pinto, I. Praça, Z. Vale, H. Morais, and T. Sousa. Integrated Computer-Aided Engineering, 20 (4): 335-346 (2013)Reinforcement Learning Based on the Bayesian Theorem for Electricity Markets Decision Support.T. Sousa, T. Pinto, I. Praça, Z. Vale, and H. Morais. DCAI, volume 290 of Advances in Intelligent Systems and Computing, page 141-148. Springer, (2014)Automatic Electricity Markets Data Extraction for Realistic Multi-agent Simulations.I. Pereira, T. Sousa, I. Praça, A. Freitas, T. Pinto, Z. Vale, and H. Morais. PAAMS, volume 8473 of Lecture Notes in Computer Science, page 371-374. Springer, (2014)A multi-agent system for the support of producer coalition formation in electricity markets.I. Praça, A. Andrade, H. Morais, M. Cardoso, C. Ramos, and Z. Vale. SAC, page 78-79. ACM, (2008)A Big Data Platform for Industrial Enterprise Asset Value Enablers.A. Canito, M. Fernandes, L. Conceição, I. Praça, and G. Marreiros. DCAI, volume 800 of Advances in Intelligent Systems and Computing, page 145-154. Springer, (2018)Day-ahead forecasting approach for energy consumption of an office building using support vector machines.A. Jozi, T. Pinto, I. Praça, and Z. Vale. SSCI, page 1620-1625. IEEE, (2018)CyberFactory#1 - Securing the industry 4.0 with cyber-ranges and digital twins.A. Bécue, Y. Fourastier, I. Praça, A. Savarit, C. Baron, B. Gradussofs, E. Pouille, and C. Thomas. WFCS, page 1-4. IEEE, (2018)