111
TITLE: Dynamic electricity tariff definition based on market price, consumption and renewable generation patterns
AUTHORS: Ribeiro, C; Pinto, T ; Faria, P; Ramos, S; Vale, Z; Baptista, J ; Soares, J; Navarro Caceres, M; Corchado, JM;
PUBLISHED: 2019, SOURCE: 2018 Clemson University Power Systems Conference, PSC 2018 in Clemson University Power Systems Conference, PSC 2018
INDEXED IN: Scopus CrossRef Handle
112
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: 48 Handle
IN MY: ORCID
113
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: 9 Handle
IN MY: ORCID
114
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 CrossRef: 2
115
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
116
TITLE: Energy Consumption Forecasting Using Ensemble Learning Algorithms
AUTHORS: José Silva; Isabel Praça; Tiago Pinto ; Zita A Vale;
PUBLISHED: 2019, SOURCE: Distributed Computing and Artificial Intelligence, 16th International Conference, DCAI 2019, Avila, Spain, 26-28 June, 2019, Special Sessions, VOLUME: 1004
INDEXED IN: DBLP
117
TITLE: Fair Remuneration of Energy Consumption Flexibility Using Shapley Value
AUTHORS: Ricardo Faia; Tiago Pinto ; Zita A Vale;
PUBLISHED: 2019, SOURCE: Progress in Artificial Intelligence - 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3-6, 2019, Proceedings, Part I, VOLUME: 11804
INDEXED IN: DBLP
118
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 CrossRef: 4
119
TITLE: Genetic Algorithms for Portfolio Optimization with Weighted Sum Approach
AUTHORS: Faia, R; Pinto, T ; Vale, Z; Corchado, JM; Soares, J; Lezama, F;
PUBLISHED: 2019, SOURCE: 8th IEEE Symposium Series on Computational Intelligence, SSCI 2018 in Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018
INDEXED IN: Scopus CrossRef: 6
120
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
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