Publications Peer reviewed articles (14) Energy Flexibility Management Based on Predictive Dispatch Model of Domestic Energy Management System Auteurs: Amin Gazafroudi, Francisco Prieto-Castrillo, Tiago Pinto, Javier Prieto, Juan Corchado, Javier Bajo Publié dans: Energies, Issue 10/9, 2017, Page(s) 1397, ISSN 1996-1073 Éditeur: Multidisciplinary Digital Publishing Institute (MDPI) DOI: 10.3390/en10091397 Context aware Q-Learning-based model for decision support in the negotiation of energy contracts Auteurs: J. Rodriguez-Fernandez, T. Pinto, F. Silva, I. Praça, Z. Vale, J.M. Corchado Publié dans: International Journal of Electrical Power & Energy Systems, Issue 104, 2019, Page(s) 489-501, ISSN 0142-0615 Éditeur: Elsevier BV DOI: 10.1016/j.ijepes.2018.06.050 Survey on Complex Optimization and Simulation for the New Power Systems Paradigm Auteurs: João Soares, Tiago Pinto, Fernando Lezama, Hugo Morais Publié dans: Complexity, Issue 2018, 2018, Page(s) 1-32, ISSN 1076-2787 Éditeur: John Wiley & Sons Inc. DOI: 10.1155/2018/2340628 Data-Mining-based filtering to support Solar Forecasting Methodologies Auteurs: Tiago PINTO, Luis MARQUES, Tiago M SOUSA, Isabel PRAÇA, Zita VALE, Samuel L ABREU Publié dans: ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, Issue 6/3, 2017, Page(s) 85, ISSN 2255-2863 Éditeur: Salamanca University Press DOI: 10.14201/ADCAIJ20176385102 Local Energy Markets: Paving the Path Towards Fully Transactive Energy Systems Auteurs: Fernando Lezama, Joao Soares, Pablo Hernandez-Leal, Michael Kaisers, Tiago Pinto, Zita Maria Almeida do Vale Publié dans: IEEE Transactions on Power Systems, Issue 16 July 2018, 2018, Page(s) 1-1, ISSN 0885-8950 Éditeur: Institute of Electrical and Electronics Engineers DOI: 10.1109/TPWRS.2018.2833959 An Ad-Hoc Initial Solution Heuristic for Metaheuristic Optimization of Energy Market Participation Portfolios Auteurs: Ricardo Faia, Tiago Pinto, Zita Vale, Juan Corchado Publié dans: Energies, Issue 10/7, 2017, Page(s) 883, ISSN 1996-1073 Éditeur: Multidisciplinary Digital Publishing Institute (MDPI) DOI: 10.3390/en10070883 Case based reasoning with expert system and swarm intelligence to determine energy reduction in buildings energy management Auteurs: Ricardo Faia, Tiago Pinto, Omid Abrishambaf, Filipe Fernandes, Zita Vale, Juan Manuel Corchado Publié dans: Energy and Buildings, Issue 155, 2017, Page(s) 269-281, ISSN 0378-7788 Éditeur: Elsevier BV DOI: 10.1016/j.enbuild.2017.09.020 Decision support for small players negotiations under a transactive energy framework Auteurs: Tiago Pinto, Ricardo Faia, Mohammad Ali Fotouhi Ghazvini, Joao Soares, Juan Manuel Corchado, Zita Maria Almeida do Vale Publié dans: IEEE Transactions on Power Systems, 2018, Page(s) 1-1, ISSN 0885-8950 Éditeur: Institute of Electrical and Electronics Engineers DOI: 10.1109/TPWRS.2018.2861325 Decision Support for Negotiations among Microgrids Using a Multiagent Architecture Auteurs: Tiago Pinto, Mohammad Fotouhi Ghazvini, Joao Soares, Ricardo Faia, Juan Corchado, Rui Castro, Zita Vale Publié dans: Energies, Issue 11/10, 2018, Page(s) 2526, ISSN 1996-1073 Éditeur: Multidisciplinary Digital Publishing Institute (MDPI) DOI: 10.3390/en11102526 Multi-Agent-Based CBR Recommender System for Intelligent Energy Management in Buildings Auteurs: Tiago Pinto, Ricardo Faia, Maria Navarro-Caceres, Gabriel Santos, Juan Manuel Corchado, Zita Vale Publié dans: IEEE Systems Journal, Issue 13/1, 2019, Page(s) 1084-1095, ISSN 1932-8184 Éditeur: Institute of Electrical and Electronics Engineers DOI: 10.1109/JSYST.2018.2876933 Stochastic interval-based optimal offering model for residential energy management systems by household owners Auteurs: Amin Shokri Gazafroudi, João Soares, Mohammad Ali Fotouhi Ghazvini, Tiago Pinto, Zita Vale, Juan Manuel Corchado Publié dans: International Journal of Electrical Power & Energy Systems, Issue 105, 2019, Page(s) 201-219, ISSN 0142-0615 Éditeur: Elsevier BV DOI: 10.1016/j.ijepes.2018.08.019 Strategic Particle Swarm Inertia Selection for Electricity Markets Participation Portfolio Optimization Auteurs: Ricardo Faia, Tiago Pinto, Zita Vale, Juan Manuel Corchado Publié dans: Applied Artificial Intelligence, Issue 32/7-8, 2018, Page(s) 745-767, ISSN 0883-9514 Éditeur: Taylor & Francis DOI: 10.1080/08839514.2018.1506971 Adaptive entropy-based learning with dynamic artificial neural network Auteurs: Tiago Pinto, Hugo Morais, Juan Manuel Corchado Publié dans: Neurocomputing, 2019, ISSN 0925-2312 Éditeur: Elsevier BV DOI: 10.1016/j.neucom.2018.09.092 Complex Optimization and Simulation in Power Systems Auteurs: João Soares, Fernando Lezama, Tiago Pinto, Hugo Morais Publié dans: Complexity, Issue 2018, 2018, Page(s) 1-3, ISSN 1076-2787 Éditeur: John Wiley & Sons Inc. DOI: 10.1155/2018/6562876 Conference proceedings (12) Reserve costs allocation model for energy and reserve market simulation Auteurs: Tiago Pinto, Amin Shokri Gazafroudi, Francisco Prieto-Castrillo, Gabriel Santos, Francisco Silva, Juan Manuel Corchado, Zita Vale Publié dans: 2017 19th International Conference on Intelligent System Application to Power Systems (ISAP), 2017, Page(s) 1-6, ISBN 978-1-5090-4000-1 Éditeur: IEEE DOI: 10.1109/ISAP.2017.8071410 Bilateral contract prices estimation using a Q-leaming based approach Auteurs: Jaime Rodriguez-Fernandez, Tiago Pinto, Francisco Silva, Isabel Praca, Zita Vale, Juan Manuel Corchado Publié dans: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, Page(s) 1-6, ISBN 978-1-5386-2726-6 Éditeur: IEEE DOI: 10.1109/SSCI.2017.8285198 Context analysis in energy resource management residential buildings Auteurs: Bruno Madureira, Tiago Pinto, Filipe Fernandes, Zita Vale Publié dans: 2017 IEEE Manchester PowerTech, 2017, Page(s) 1-6, ISBN 978-1-5090-4237-1 Éditeur: IEEE DOI: 10.1109/PTC.2017.7981222 Power Systems Simulation Using Ontologies to Enable the Interoperability of Multi-Agent Systems Auteurs: Gabriel Santos, Francisco Silva, Brigida Teixeira, Zita Vale, Tiago Pinto Publié dans: 2018 Power Systems Computation Conference (PSCC), 2018, Page(s) 1-7, ISBN 978-1-910963-10-4 Éditeur: IEEE DOI: 10.23919/PSCC.2018.8442888 Energy consumption forecasting using genetic fuzzy rule-based systems based on MOGUL learning methodology Auteurs: Aria Jozi, Tiago Pinto, Isabel Praca, Francisco Silva, Brigida Teixeira, Zita Vale Publié dans: 2017 IEEE Manchester PowerTech, 2017, Page(s) 1-5, ISBN 978-1-5090-4237-1 Éditeur: IEEE DOI: 10.1109/PTC.2017.7981219 Automatic Selection of Optimization Algorithms for Energy Resource Scheduling using a Case-Based Reasoning System Auteurs: Ricardo Faia, Tiago Pinto, Tiago Sousa, Zita Vale, Juan Manuel Corchado Publié dans: ICCBR 2017 – 25th International Conference on Case-Based Reasoning, 2017 Éditeur: Springer Multi-Objective Portfolio Optimization of Electricity Markets Participation Auteurs: Ricardo Faia, Tiago Pinto, Zita Vale, Juan Manuel Corchado Publié dans: 2018 Power Systems Computation Conference (PSCC), 2018, Page(s) 1-6, ISBN 978-1-910963-10-4 Éditeur: IEEE DOI: 10.23919/PSCC.2018.8443006 Optimization of Multiple Electricity Markets Participation Using Evolutionary PSO Auteurs: Ricardo Faia, Tiago Pinto, Zita Vale, Juan Manuel Corchado Publié dans: 2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), 2018, Page(s) 1-9, ISBN 978-1-5386-5583-2 Éditeur: IEEE DOI: 10.1109/TDC.2018.8440534 Multi-Agent Systems Society for Power and Energy Systems Simulation Auteurs: Gabriel Santos, Tiago Pinto, Zita Vale Publié dans: AAMAS 2018 (International Conference on Autonomous Agents and Multiagent Systems), workshop on Multi-Agent Based Systems, Issue July 10-15, 2018, 2018 Éditeur: Springer Differential Evolution Aplication in Portfolio optimization for Electricity Markets Auteurs: Ricardo Faia, Fernando Lezama, Joao Soares, Zita Vale, Tiago Pinto, Juan Manuel Corchado Publié dans: 2018 International Joint Conference on Neural Networks (IJCNN), 2018, Page(s) 1-8, ISBN 978-1-5090-6014-6 Éditeur: IEEE DOI: 10.1109/IJCNN.2018.8489117 Day ahead electricity consumption forecasting with MOGUL learning model Auteurs: Aria Jozi, Tiago Pinto, Isabel Praca, Zita Vale, Joao Soares Publié dans: 2018 International Joint Conference on Neural Networks (IJCNN), 2018, Page(s) 1-6, ISBN 978-1-5090-6014-6 Éditeur: IEEE DOI: 10.1109/IJCNN.2018.8489134 Hybrid particle swarm optimization of electricity market participation portfolio Auteurs: Ricardo Faia, Tiago Pinto, Zita Vale, Juan Manuel Corchado Publié dans: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, Page(s) 1-8, ISBN 978-1-5386-2726-6 Éditeur: IEEE DOI: 10.1109/SSCI.2017.8285218 Book chapters (4) Decision Support System for the Negotiation of Bilateral Contracts in Electricity Markets Auteurs: Francisco Silva, Brígida Teixeira, Tiago Pinto, Isabel Praça, Goreti Marreiros, Zita Vale Publié dans: Ambient Intelligence– Software and Applications – 8th International Symposium on Ambient Intelligence (ISAmI 2017), Issue 615, 2017, Page(s) 159-166, ISBN 978-3-319-61117-4 Éditeur: Springer International Publishing DOI: 10.1007/978-3-319-61118-1_20 Optimizing Opponents Selection in Bilateral Contracts Negotiation with Particle Swarm Auteurs: Francisco Silva, Ricardo Faia, Tiago Pinto, Isabel Praça, Zita Vale Publié dans: Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, Issue 887, 2018, Page(s) 116-124, ISBN 978-3-319-94778-5 Éditeur: Springer International Publishing DOI: 10.1007/978-3-319-94779-2_11 Initial Solution Heuristic for Portfolio Optimization of Electricity Markets Participation Auteurs: Ricardo Faia, Tiago Pinto, Zita Vale Publié dans: Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems, Issue 722, 2017, Page(s) 130-142, ISBN 978-3-319-60284-4 Éditeur: Springer International Publishing DOI: 10.1007/978-3-319-60285-1_11 Reputation Computational Model to Support Electricity Market Players Energy Contracts Negotiation Auteurs: Jaime Rodriguez-Fernandez, Tiago Pinto, Francisco Silva, Isabel Praça, Zita Vale, Juan Manuel Corchado Publié dans: Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, Issue 887, 2018, Page(s) 125-133, ISBN 978-3-319-94778-5 Éditeur: Springer International Publishing DOI: 10.1007/978-3-319-94779-2_12 Recherche de données OpenAIRE... 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