101
TÍTULO: MARTINE: Multi-Agent based Real-Time INfrastructure for Energy
AUTORES: Tiago Pinto ; Luis Gomes; Pedro Faria; Filipe Sousa ; Zita A Vale;
PUBLICAÇÃO: 2020, FONTE: 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020 in AAMAS, VOLUME: 2020-May
INDEXADO EM: Scopus DBLP
102
TÍTULO: Solar Thermal Collector Output Temperature Prediction by Hybrid Intelligent Model for Smartgrid and Smartbuildings Applications and Optimization  Full Text
AUTORES: José-Luis Casteleiro-Roca; Pablo Chamoso; Esteban Jove; Alfonso González-Briones; Héctor Quintián; María-Isabel Fernández-Ibáñez; Rafael Alejandro Vega Vega; Andrés-José Piñón Pazos; José Antonio López Vázquez; Santiago Torres-Álvarez; Tiago Pinto ; Jose Luis Calvo-Rolle;
PUBLICAÇÃO: 2020, FONTE: Applied Sciences, VOLUME: 10, NÚMERO: 13
INDEXADO EM: CrossRef: 7
103
TÍTULO: Trust Model for a Multi-agent Based Simulation of Local Energy Markets
AUTORES: Rui Andrade; Tiago Pinto ; Isabel Praça ;
PUBLICAÇÃO: 2020, FONTE: 18th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2020 in PAAMS (Workshops), VOLUME: 1233 CCIS
INDEXADO EM: Scopus DBLP CrossRef: 5
NO MEU: ORCID
104
TÍTULO: y Adjacent Markets Influence Over Electricity Trading-Iberian Benchmark Study  Full Text
AUTORES: Morais, H; Pinto, T ; Vale, Z ;
PUBLICAÇÃO: 2020, FONTE: ENERGIES, VOLUME: 13, NÚMERO: 11
INDEXADO EM: Scopus WOS CrossRef: 5
105
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: 17
107
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
108
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: 2019 16th International Conference on the European Energy Market (EEM)
INDEXADO EM: CrossRef: 18
109
TÍTULO: Adaptive entropy-based learning with dynamic artificial neural network
AUTORES: Pinto, T ; Morais, H; Corchado, JM;
PUBLICAÇÃO: 2019, FONTE: NEUROCOMPUTING, VOLUME: 338
INDEXADO EM: Scopus WOS DBLP CrossRef: 9
110
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 DBLP CrossRef: 11
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