61
TITLE: UCB1 Based Reinforcement Learning Model for Adaptive Energy Management in Buildings
AUTHORS: Andrade, R; Pinto, T ; Praca, I; Vale, Z;
PUBLISHED: 2019, SOURCE: 15th International Conference on Distributed Computing and Artificial Intelligence in DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, VOLUME: 801
INDEXED IN: Scopus WOS CrossRef: 1
IN MY: ORCID
62
TITLE: Decision Support Application for Energy Consumption Forecasting
AUTHORS: Jozi, A; Pinto, T ; Praca, I; Vale, Z;
PUBLISHED: 2019, SOURCE: APPLIED SCIENCES-BASEL, VOLUME: 9, ISSUE: 4
INDEXED IN: Scopus WOS CrossRef: 10
IN MY: ORCID
63
TITLE: Day-ahead forecasting approach for energy consumption of an office building using support vector machines
AUTHORS: Jozi, A; Pinto, T ; Praça, I; Vale, Z;
PUBLISHED: 2019, SOURCE: 8th IEEE Symposium Series on Computational Intelligence, SSCI 2018 in Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018
INDEXED IN: Scopus CrossRef: 4
IN MY: ORCID
64
TITLE: Identifying Most Probable Negotiation Scenario in Bilateral Contracts with Reinforcement Learning
AUTHORS: Silva, F; Pinto, T ; Praça, I; Vale, Z;
PUBLISHED: 2019, SOURCE: World Conference on Information Systems and Technologies, WorldCIST 2019 in NEW KNOWLEDGE IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1, VOLUME: 930
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
65
TITLE: Collaborative reinforcement learning of energy contracts negotiation strategies
AUTHORS: Pinto, T ; Praça, I; Vale, Z; Santos, C;
PUBLISHED: 2019, SOURCE: 17th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2019 in Communications in Computer and Information Science, VOLUME: 1047
INDEXED IN: Scopus CrossRef: 1
IN MY: ORCID
66
TITLE: Analysis and Simulation of Local Energy Markets
AUTHORS: Praca, I; Ramos, S; Andrade, R; Silva, ASD; Sica, ET;
PUBLISHED: 2019, SOURCE: 16th International Conference on the European Energy Market, EEM 2019 in International Conference on the European Energy Market, EEM, VOLUME: 2019-September
INDEXED IN: Scopus CrossRef: 5
IN MY: ORCID
67
TITLE: Classification of local energy trading negotiation profiles using artificial neural networks
AUTHORS: Pinto, A; Pinto, T ; Praca, I; Vale, Z;
PUBLISHED: 2019, SOURCE: 2019 IEEE Power and Energy Society General Meeting, PESGM 2019 in IEEE Power and Energy Society General Meeting, VOLUME: 2019-August
INDEXED IN: Scopus CrossRef: 1
IN MY: ORCID
68
TITLE: Context aware Q-Learning-based model for decision support in the negotiation of energy contracts  Full Text
AUTHORS: Rodriguez-Fernandez, J; Pinto, T ; Silva, F; Praça, I; Vale, Z; J.M Corchado;
PUBLISHED: 2019, SOURCE: International Journal of Electrical Power & Energy Systems, VOLUME: 104
INDEXED IN: CrossRef: 15
IN MY: ORCID
69
TITLE: Multi-agent electricity markets and smart grids simulation with connection to real physical resources
AUTHORS: Pinto, T ; Vale, Z; Praça, I; Gomes, L; Faria, P;
PUBLISHED: 2018, SOURCE: Studies in Systems, Decision and Control, VOLUME: 144
INDEXED IN: Scopus CrossRef: 1
IN MY: ORCID
70
TITLE: Multi-Agent Decision Support Tool to Enable Interoperability among Heterogeneous Energy Systems
AUTHORS: Teixeira, B; Pinto, T ; Silva, F; Santos, G; Praca, I; Vale, Z;
PUBLISHED: 2018, SOURCE: APPLIED SCIENCES-BASEL, VOLUME: 8, ISSUE: 3
INDEXED IN: Scopus WOS CrossRef: 20
IN MY: ORCID
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