61
TITLE: Energy consumption forecasting using ensemble learning algorithms
AUTHORS: Silva, J; Praça, I; Pinto, T ; Vale, Z ;
PUBLISHED: 2020, SOURCE: 16th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2019 in Advances in Intelligent Systems and Computing, VOLUME: 1004
INDEXED IN: Scopus CrossRef: 3
IN MY: ORCID
62
TITLE: MARTINE: Multi-Agent based Real-Time INfrastructure for Energy PDF
AUTHORS: Tiago Pinto ; Luis Gomes; Pedro Faria; Filipe Sousa; Zita A Vale;
PUBLISHED: 2020, SOURCE: Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS '20, Auckland, New Zealand, May 9-13, 2020
INDEXED IN: DBLP
IN MY: ORCID | DBLP
63
TITLE: Solar Thermal Collector Output Temperature Prediction by Hybrid Intelligent Model for Smartgrid and Smartbuildings Applications and Optimization  Full Text
AUTHORS: 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;
PUBLISHED: 2020, SOURCE: Applied Sciences, VOLUME: 10, ISSUE: 13
INDEXED IN: CrossRef: 4
IN MY: ORCID
64
TITLE: Trust model for a multi-agent based simulation of local energy markets
AUTHORS: Andrade, R; Pinto, T ; Praça, I;
PUBLISHED: 2020, SOURCE: 18th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2020 in Communications in Computer and Information Science, VOLUME: 1233 CCIS
INDEXED IN: Scopus CrossRef: 1
IN MY: ORCID
65
TITLE: Trust Model for a Multi-agent Based Simulation of Local Energy Markets
AUTHORS: Rui Andrade; Tiago Pinto ; Isabel Praça;
PUBLISHED: 2020, SOURCE: Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trust-worthiness. The PAAMS Collection - International Workshops of PAAMS 2020, L'Aquila, Italy, October 7-9, 2020, Proceedings, VOLUME: 1233
INDEXED IN: DBLP
IN MY: ORCID | DBLP
66
TITLE: y Adjacent Markets Influence Over Electricity Trading-Iberian Benchmark Study  Full Text
AUTHORS: Morais, H; Pinto, T ; Vale, Z;
PUBLISHED: 2020, SOURCE: ENERGIES, VOLUME: 13, ISSUE: 11
INDEXED IN: Scopus WOS CrossRef: 2
IN MY: ORCID
67
TITLE: A Local Electricity Market Model for DSO Flexibility Trading
AUTHORS: Faia, R; Pinto, T ; Vale, Z; Corchado, JM;
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: 11
IN MY: ORCID
69
TITLE: A Review of the main machine learning methods for predicting residential energy consumption
AUTHORS: Gonzalez Briones, A; Hernandez, G; Pinto, T ; Vale, Z; Corchado, JM;
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
IN MY: ORCID
70
TITLE: A Review of the Main Machine Learning Methods for Predicting Residential Energy Consumption
AUTHORS: Alfonso Gonzalez-Briones; Guillermo Hernandez; Tiago Pinto ; Zita Vale; Juan M Corchado;
PUBLISHED: 2019, SOURCE: 2019 16th International Conference on the European Energy Market (EEM)
INDEXED IN: CrossRef: 6
IN MY: ORCID
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