271
TITLE: Using diverse sensors in load forecasting in an office building to support energy management
AUTHORS: Ramos, D; Teixeira, B; Faria, P; Gomes, L; Abrishambaf, O; Vale, Z ;
PUBLISHED: 2020, SOURCE: 7th International Conference on Energy and Environment Research (ICEER) - Driving Energy and Environment in 2020 Towards A Sustainable Future in ENERGY REPORTS, VOLUME: 6
INDEXED IN: Scopus WOS CrossRef: 12
272
TITLE: y Adjacent Markets Influence Over Electricity Trading-Iberian Benchmark Study  Full Text
AUTHORS: Morais, H; Pinto, T ; Vale, Z ;
PUBLISHED: 2020, SOURCE: ENERGIES, VOLUME: 13, ISSUE: 11
INDEXED IN: Scopus WOS CrossRef: 5
273
TITLE: 2017 IEEE competition on modern heuristic optimizers for smart grid operation: Testbeds and results
AUTHORS: Lezama, F; Soares, J; Vale, Z ; Rueda, J; Rivera, S; Elrich, I;
PUBLISHED: 2019, SOURCE: SWARM AND EVOLUTIONARY COMPUTATION, VOLUME: 44
INDEXED IN: Scopus WOS CrossRef: 21
274
TITLE: A Demand Response Approach to Scheduling Constrained Load Shifting
AUTHORS: Faria, P; Vale, Z ;
PUBLISHED: 2019, SOURCE: ENERGIES, VOLUME: 12, ISSUE: 9
INDEXED IN: Scopus WOS CrossRef: 27
275
TITLE: A Flexibility Home Energy Management System to Support Agreggator Requests in Smart Grids
AUTHORS: Sousa, T; Lezama, F; Soares, J; Ramos, S; Vale, Z ;
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
276
TITLE: A Local Electricity Market Model for DSO Flexibility Trading
AUTHORS: Faia, R; Pinto, T ; Vale, Z ; Corchado, JM;
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: 17
278
TITLE: A Review of the main machine learning methods for predicting residential energy consumption
AUTHORS: Gonzalez Briones, A; Hernandez, G; Pinto, T ; Vale, Z ; Corchado, JM;
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
279
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: 18
280
TITLE: A Short Review on Data Mining Techniques for Electricity Customers Characterization
AUTHORS: Cembranel, SS; Lezama, F; Soares, J; Ramos, S; Gomes, A; Vale, Z ;
PUBLISHED: 2019, SOURCE: 2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019 in 2019 IEEE PES GTD Grand International Conference and Exposition Asia, GTD Asia 2019
INDEXED IN: Scopus CrossRef: 14
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