141
TÍTULO: Identifying Most Probable Negotiation Scenario in Bilateral Contracts with Reinforcement Learning
AUTORES: Silva, F; Pinto, T ; Praça, I ; Vale, Z ;
PUBLICAÇÃO: 2019, FONTE: World Conference on Information Systems and Technologies, WorldCIST 2019 in NEW KNOWLEDGE IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1, VOLUME: 930
INDEXADO EM: Scopus WOS CrossRef
142
TÍTULO: Identifying Most Probable Negotiation Scenario in Bilateral Contracts with Reinforcement Learning
AUTORES: Francisco Silva; Tiago Pinto ; Isabel Praça; Zita A Vale;
PUBLICAÇÃO: 2019, FONTE: New Knowledge in Information Systems and Technologies - Volume 1, World Conference on Information Systems and Technologies, WorldCIST 2019, Galicia, Spain, 16-19 April, 2019, VOLUME: 930
INDEXADO EM: DBLP
143
TÍTULO: Local Energy Markets: Paving the Path Toward Fully Transactive Energy Systems
AUTORES: Lezama, F; Soares, J; Hernandez Leal, P; Kaisers, M; Pinto, T ; Vale, Z ;
PUBLICAÇÃO: 2019, FONTE: IEEE TRANSACTIONS ON POWER SYSTEMS, VOLUME: 34, NÚMERO: 5
INDEXADO EM: Scopus WOS CrossRef: 261
144
TÍTULO: Multi-agent Systems Society for Power and Energy Systems Simulation
AUTORES: Santos, Gabriel; Pinto, Tiago ; Vale, Zita ;
PUBLICAÇÃO: 2019, FONTE: 19th International Workshop on Multi-Agent-Based Simulation (MABS) in MULTI-AGENT-BASED SIMULATION XIX, VOLUME: 11463
INDEXADO EM: Scopus WOS DBLP CrossRef
NO MEU: ORCID
145
TÍTULO: Multi-Agent-Based CBR Recommender System for Intelligent Energy Management in Buildings
AUTORES: Pinto, T ; Faia, R; Navarro Caceres, M; Santos, G; Corchado, JM; Vale, Z ;
PUBLICAÇÃO: 2019, FONTE: IEEE SYSTEMS JOURNAL, VOLUME: 13, NÚMERO: 1
INDEXADO EM: Scopus WOS DBLP CrossRef: 44
146
TÍTULO: Practical Application of a Multi-Agent Systems Society for Energy Management and Control Demonstration
AUTORES: Pinto, T ; Santos, G; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS) in AAMAS '19: PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS, VOLUME: 4
INDEXADO EM: Scopus WOS DBLP
NO MEU: ORCID
147
TÍTULO: Stochastic interval-based optimal offering model for residential energy management systems by household owners  Full Text
AUTORES: Gazafroudi, AS; Soares, J; Ghazvini, MAF; Pinto, T ; Vale, Z ; Corchado, JM;
PUBLICAÇÃO: 2019, FONTE: INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, VOLUME: 105
INDEXADO EM: Scopus WOS CrossRef: 66
148
TÍTULO: Strategic participation in competitive electricity markets: Internal versus sectorial data analysis  Full Text
AUTORES: Pinto, T ; Falcao Reis, F;
PUBLICAÇÃO: 2019, FONTE: INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, VOLUME: 108
INDEXADO EM: Scopus WOS CrossRef: 14 Handle
149
TÍTULO: UCB1 Based Reinforcement Learning Model for Adaptive Energy Management in Buildings
AUTORES: Andrade, R; Pinto, T ; Praca, I ; Vale, Z ;
PUBLICAÇÃO: 2019, FONTE: 15th International Conference on Distributed Computing and Artificial Intelligence in DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, VOLUME: 801
INDEXADO EM: Scopus WOS DBLP CrossRef: 2
NO MEU: ORCID
150
TÍTULO: A New Hybrid-Adaptive Differential Evolution for a Smart Grid Application Under Uncertainty  Full Text
AUTORES: Fernando Lezama; João P Soares; Ricardo Faia; Tiago Pinto ; Zita A Vale ;
PUBLICAÇÃO: 2018, FONTE: 2018 IEEE Congress on Evolutionary Computation, CEC 2018 in CEC
INDEXADO EM: Scopus DBLP CrossRef: 31
NO MEU: ORCID
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