371
TITLE: CO2 Concentration Forecasting in an Office Using Artificial Neural Network
AUTHORS: Khorram, M; Faria, P; Abrishambaf, O; Vale, Z; Soares, J;
PUBLISHED: 2019, SOURCE: 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019 in 2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019
INDEXED IN: Scopus CrossRef: 3
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372
TITLE: Energy Resource Scheduling in an Agriculture System Using a Decision Tree Approach
AUTHORS: Abrishambaf, O; Faria, P; Vale, Z;
PUBLISHED: 2019, SOURCE: 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019 in 2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019
INDEXED IN: Scopus CrossRef: 3
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373
TITLE: Defining the Optimal Number of Demand Response Programs and Tariffs Using Clustering Methods
AUTHORS: Silva, C; Faria, P; Vale, Z;
PUBLISHED: 2019, SOURCE: 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019 in 2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019
INDEXED IN: Scopus CrossRef
IN MY: ORCID
374
TITLE: Multi-agent semantic interoperability in complex energy systems simulation and decision support
AUTHORS: Santos, G; Pinto, T; Vale, Z; Corchado, JM;
PUBLISHED: 2019, SOURCE: 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019 in 2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019
INDEXED IN: Scopus CrossRef: 5
IN MY: ORCID
375
TITLE: Lightweight Architecture for IoT Devices with Context-aware Autonomous Control
AUTHORS: Serra, B; Gomes, L; Vale, Z;
PUBLISHED: 2019, SOURCE: IEEE Wireless Communications and Networking Conference (WCNC) in 2019 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE WORKSHOP (WCNCW)
INDEXED IN: WOS
IN MY: ORCID
376
TITLE: Electricity consumption forecasting in office buildings: an artificial intelligence approach
AUTHORS: Jozi, A; Pinto, T; Manrreiros, G; Vale, Z;
PUBLISHED: 2019, SOURCE: IEEE Milan PowerTech Conference in 2019 IEEE MILAN POWERTECH
INDEXED IN: WOS
IN MY: ORCID
377
TITLE: Day-ahead electricity market price forecasting using artificial neural network with spearman data correlation
AUTHORS: Joao Nascimento; Tiago Pinto; Zita Vale;
PUBLISHED: 2019, SOURCE: IEEE Milan PowerTech Conference in 2019 IEEE MILAN POWERTECH
INDEXED IN: WOS
IN MY: ORCID
378
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
IN MY: ORCID
379
TITLE: Context aware Q-Learning-based model for decision support in the negotiation of energy contracts  Full Text
AUTHORS: Rodriguez-Fernandez, J; Pinto, T ; Silva, F; Praça, I; Vale, Z; J.M Corchado;
PUBLISHED: 2019, SOURCE: International Journal of Electrical Power & Energy Systems, VOLUME: 104
INDEXED IN: CrossRef: 15
IN MY: ORCID
380
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: 10
IN MY: ORCID
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