341
TÍTULO: Energy Resources Management Enabled by Internet of Things Devices
AUTORES: Gomes, Luis; Faria, Pedro; Silva, Franciseo; Vale, Zita;
PUBLICAÇÃO: 2019, FONTE: IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC) in PROCEEDINGS OF THE 2019 9TH IEEE-APS TOPICAL CONFERENCE ON ANTENNAS AND PROPAGATION IN WIRELESS COMMUNICATIONS (IEEE APWC' 19)
INDEXADO EM: Scopus WOS CrossRef: 1
NO MEU: ORCID
342
TÍTULO: Energy Scheduling Using Decision Trees and Emulation: Agriculture Irrigation with Run-of-the-River Hydroelectricity and a PV Case Study
AUTORES: Abrishambaf, O; Faria, P; Vale, Z; Corchado, JM;
PUBLICAÇÃO: 2019, FONTE: ENERGIES, VOLUME: 12, NÚMERO: 20
INDEXADO EM: Scopus WOS CrossRef: 9
NO MEU: ORCID
343
TÍTULO: AiD-EM: Adaptive Decision Support for Electricity Markets Negotiations
AUTORES: Pinto, Tiago ; Vale, Zita;
PUBLICAÇÃO: 2019, FONTE: 28th International Joint Conference on Artificial Intelligence in PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLUME: 2019-August
INDEXADO EM: Scopus WOS
NO MEU: ORCID
344
TÍTULO: Lightweight Architecture for IoT Devices with Context-aware Autonomous Control
AUTORES: Serra, B; Gomes, L; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: 2019 IEEE Wireless Communications and Networking Conference Workshop, WCNCW 2019 in 2019 IEEE Wireless Communications and Networking Conference Workshop, WCNCW 2019
INDEXADO EM: Scopus CrossRef: 1
NO MEU: ORCID
345
TÍTULO: Distributed learning of energy contracts negotiation strategies with collaborative reinforcement learning
AUTORES: Pinto, T ; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: 16th International Conference on the European Energy Market, EEM 2019 in International Conference on the European Energy Market, EEM, VOLUME: 2019-September
INDEXADO EM: Scopus CrossRef
NO MEU: ORCID
346
TÍTULO: A Local Electricity Market Model for DSO Flexibility Trading
AUTORES: Faia, R; Pinto, T ; Vale, Z; Corchado, JM;
PUBLICAÇÃO: 2019, FONTE: 16th International Conference on the European Energy Market, EEM 2019 in International Conference on the European Energy Market, EEM, VOLUME: 2019-September
INDEXADO EM: Scopus CrossRef: 12
NO MEU: ORCID
347
TÍTULO: A Review of the main machine learning methods for predicting residential energy consumption
AUTORES: Gonzalez Briones, A; Hernandez, G; Pinto, T ; Vale, Z; Corchado, JM;
PUBLICAÇÃO: 2019, FONTE: 16th International Conference on the European Energy Market, EEM 2019 in International Conference on the European Energy Market, EEM, VOLUME: 2019-September
INDEXADO EM: Scopus
NO MEU: ORCID
348
TÍTULO: Genetic fuzzy rule-based system using MOGUL learning methodology for energy consumption forecasting
AUTORES: Jozi, A; Pinto, T ; Praca, I; Silva, F; Teixeira, B; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: ADCAIJ-ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL, VOLUME: 8, NÚMERO: 1
INDEXADO EM: Scopus WOS CrossRef
NO MEU: ORCID
349
TÍTULO: Distributed energy resources management 2018
AUTORES: Faria, P; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: Energies, VOLUME: 13, NÚMERO: 1
INDEXADO EM: Scopus CrossRef
NO MEU: ORCID
350
TÍTULO: Classification of local energy trading negotiation profiles using artificial neural networks
AUTORES: Pinto, A; Pinto, T ; Praca, I; Vale, Z;
PUBLICAÇÃO: 2019, FONTE: 2019 IEEE Power and Energy Society General Meeting, PESGM 2019 in IEEE Power and Energy Society General Meeting, VOLUME: 2019-August
INDEXADO EM: Scopus CrossRef: 1
NO MEU: ORCID
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