141
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
142
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
143
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
144
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: 5
145
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: 7
146
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
147
TITLE: Hybrid approach based on particle swarm optimization for electricity markets participation
AUTHORS: Ricardo Faia; Tiago Pinto ; Zita Vale ; Juan Manuel Corchado;
PUBLISHED: 2019, SOURCE: Energy Informatics, VOLUME: 2, ISSUE: 1
INDEXED IN: Scopus CrossRef: 13 Handle
148
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: DBLP
149
TITLE: Identifying Most Probable Negotiation Scenario in Bilateral Contracts with Reinforcement Learning
AUTHORS: Silva, F; Pinto, T ; Praça, I ; Vale, Z ;
PUBLISHED: 2019, SOURCE: World Conference on Information Systems and Technologies, WorldCIST 2019 in NEW KNOWLEDGE IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1, VOLUME: 930
INDEXED IN: Scopus WOS CrossRef
150
TITLE: Identifying Most Probable Negotiation Scenario in Bilateral Contracts with Reinforcement Learning
AUTHORS: Francisco Silva; Tiago Pinto ; Isabel Praça; Zita A Vale;
PUBLISHED: 2019, SOURCE: New Knowledge in Information Systems and Technologies - Volume 1, World Conference on Information Systems and Technologies, WorldCIST 2019, Galicia, Spain, 16-19 April, 2019, VOLUME: 930
INDEXED IN: DBLP
Page 15 of 39. Total results: 383.