Tiago Manuel Campelos Ferreira Pinto


AuthID: R-000-T7J

Confirmed Publications: 311



121
TITLE: Demonstration of an Energy Consumption Forecasting System for Energy Management in Buildings
AUTHORS: Jozi, Aria; Ramos, Daniel; Gomes, Luis; Faria, Pedro; Pinto, Tiago ; Vale, Zita ;
PUBLISHED: 2019, SOURCE: 19th EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2019, PT I, VOLUME: 11804
INDEXED IN: Scopus WOS DBLP CrossRef: 4
IN MY: ORCID
122
TITLE: Distributed Constrained Optimization Towards Effective Agent-Based Microgrid Energy Resource Management
AUTHORS: Lezama, Fernando; Munoz de Cote, Enrique; Farinelli, Alessandro; Soares, Joao; Pinto, Tiago ; Vale, Zita ;
PUBLISHED: 2019, SOURCE: 19th EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2019, PT I, VOLUME: 11804
INDEXED IN: Scopus WOS DBLP CrossRef: 3
IN MY: ORCID
123
TITLE: Distributed learning of energy contracts negotiation strategies with collaborative reinforcement learning
AUTHORS: Pinto, T ; Vale, Z ;
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
IN MY: ORCID | CIÊNCIAVITAE
124
TITLE: Electric Vehicles' User Charging Behaviour Simulator for a Smart City  Full Text
AUTHORS: Canizes, B; Soares, J; Costa, A; Pinto, T ; Lezama, F; Paulo Novais ; Vale, Z ;
PUBLISHED: 2019, SOURCE: ENERGIES, VOLUME: 12, ISSUE: 8
INDEXED IN: Scopus WOS CrossRef: 60 Handle
IN MY: ORCID | CIÊNCIAVITAE
125
TITLE: Electricity consumption forecasting in office buildings: An artificial intelligence approach
AUTHORS: Jozi, A; Pinto, T ; Marreiros, G ; Vale, Z ;
PUBLISHED: 2019, SOURCE: 2019 IEEE Milan PowerTech, PowerTech 2019 in 2019 IEEE Milan PowerTech, PowerTech 2019
INDEXED IN: Scopus CrossRef: 11 Handle
IN MY: ORCID | CIÊNCIAVITAE
126
TITLE: Electricity Price Forecast for Futures Contracts with Artificial Neural Network and Spearman Data Correlation
AUTHORS: Nascimento, J; Pinto, T ; Vale, Z ;
PUBLISHED: 2019, SOURCE: 15th International Conference on Distributed Computing and Artificial Intelligence in DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, VOLUME: 801
INDEXED IN: WOS DBLP CrossRef: 2
127
TITLE: Electricity price forecast for futures contracts with artificial neural network and spearman data correlation
AUTHORS: João Nascimento; Tiago Pinto ; Zita Vale ;
PUBLISHED: 2019, SOURCE: Advances in Intelligent Systems and Computing, VOLUME: 801
INDEXED IN: Scopus
128
TITLE: Fair Remuneration of Energy Consumption Flexibility Using Shapley Value
AUTHORS: Faia, Ricardo; Pinto, Tiago ; Vale, Zita ;
PUBLISHED: 2019, SOURCE: 19th EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2019, PT I, VOLUME: 11804
INDEXED IN: Scopus WOS DBLP CrossRef: 5
129
TITLE: Genetic fuzzy rule-based system using MOGUL learning methodology for energy consumption forecasting
AUTHORS: Jozi, A; Pinto, T ; Praca, I; Silva, F; Teixeira, B; Vale, Z ;
PUBLISHED: 2019, SOURCE: ADCAIJ-ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL, VOLUME: 8, ISSUE: 1
INDEXED IN: Scopus WOS CrossRef
IN MY: CIÊNCIAVITAE
130
TITLE: Hybrid approach based on particle swarm optimization for electricity markets participation
AUTHORS: Ricardo Faia; Tiago Pinto ; Zita A Vale ; Juan Manuel Corchado;
PUBLISHED: 2019, SOURCE: Energy Inform., VOLUME: 2, ISSUE: 1
INDEXED IN: Scopus DBLP CrossRef: 13 Handle
Page 13 of 32. Total results: 311.

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