361
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
362
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
363
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
364
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
365
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
366
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
367
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
368
TÍTULO: A Local Electricity Market Model for DSO Flexibility Trading
AUTORES: Ricardo Faia; Tiago Pinto; Zita Vale; Juan M Manuel Corchado;
PUBLICAÇÃO: 2019, FONTE: 16th International Conference on the European Energy Market (EEM) in 2019 16TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM)
INDEXADO EM: WOS
NO MEU: ORCID
369
TÍTULO: A Review of the Main Machine Learning Methods for Predicting Residential Energy Consumption
AUTORES: Alfonso Gonzalez Briones; Guillermo Hernandez; Tiago Pinto; Zita Vale; Juan M Corchado;
PUBLICAÇÃO: 2019, FONTE: 16th International Conference on the European Energy Market (EEM) in 2019 16TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM)
INDEXADO EM: WOS
NO MEU: ORCID
370
TÍTULO: Distributed learning of energy contracts negotiation strategies with collaborative reinforcement learning
AUTORES: Tiago Pinto; Zita Vale;
PUBLICAÇÃO: 2019, FONTE: 16th International Conference on the European Energy Market (EEM) in 2019 16TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM)
INDEXADO EM: WOS
NO MEU: ORCID
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