341
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
342
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
343
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
344
TITLE: Energy Analyzer Emulator for Microgrid Implementation and Demonstration and Respective Gateway
AUTHORS: Gomes, L; Faria, P; Vale, ZA ; Silva, J;
PUBLISHED: 2019, SOURCE: IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOLUME: 55, ISSUE: 1
INDEXED IN: Scopus WOS CrossRef: 9
345
TITLE: Energy Resources Management Enabled by Internet of Things Devices
AUTHORS: Gomes, Luis; Faria, Pedro; Silva, Franciseo; Vale, Zita ;
PUBLISHED: 2019, SOURCE: IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC) in PROCEEDINGS OF THE 2019 9TH IEEE-APS TOPICAL CONFERENCE ON ANTENNAS AND PROPAGATION IN WIRELESS COMMUNICATIONS (IEEE APWC' 19)
INDEXED IN: Scopus WOS CrossRef: 1
346
TITLE: Energy Scheduling Using Decision Trees and Emulation: Agriculture Irrigation with Run-of-the-River Hydroelectricity and a PV Case Study
AUTHORS: Abrishambaf, O; Faria, P; Vale, Z ; Corchado, JM;
PUBLISHED: 2019, SOURCE: ENERGIES, VOLUME: 12, ISSUE: 20
INDEXED IN: Scopus WOS CrossRef: 9
347
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
348
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
349
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
350
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 DBLP CrossRef
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