Feature extraction via multiresolution analysis for short-term load forecasting AJR Reis, APA Da Silva IEEE Transactions on power systems 20 (1), 189-198, 2005 | 386 | 2005 |
A self-adaptive evolutionary fuzzy model for load forecasting problems on smart grid environment VN Coelho, IM Coelho, BN Coelho, AJR Reis, R Enayatifar, MJF Souza, ... Applied Energy 169, 567-584, 2016 | 121 | 2016 |
Multi-objective energy storage power dispatching using plug-in vehicles in a smart-microgrid VN Coelho, IM Coelho, BN Coelho, MW Cohen, AJR Reis, SM Silva, ... Renewable Energy 89, 730-742, 2016 | 106 | 2016 |
A hierarchical neural model in short-term load forecasting OAS Carpinteiro, AJR Reis, APA da Silva Applied soft computing 4 (4), 405-412, 2004 | 91 | 2004 |
A cognitive system for fault prognosis in power transformers FC Sica, FG Guimarães, R de Oliveira Duarte, AJR Reis Electric Power Systems Research 127, 109-117, 2015 | 58 | 2015 |
NeuroDem-a neural network based short term demand forecaster APA Da Silva, UP Rodrigues, AJR Reis, LS Moulin 2001 IEEE Porto Power Tech Proceedings (Cat. No. 01EX502) 2, 6 pp. vol. 2, 2001 | 31 | 2001 |
A heuristic fuzzy algorithm bio-inspired by evolution strategies for energy forecasting problems VN Coelho, FG Guimarães, AJR Reis, IM Coelho, BN Coelho, MJF Souza 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 338-345, 2014 | 12 | 2014 |
A hybrid deep learning forecasting model using GPU disaggregated function evaluations applied for household electricity demand forecasting VN Coelho, IM Coelho, E Rios, ST Alexandre Filho, AJR Reis, BN Coelho, ... Energy Procedia 103, 280-285, 2016 | 10 | 2016 |
Aplicação da transformada wavelet discreta na previsão de carga a curto prazo via redes neurais AJR Reis, AP Silva Sba: Controle & Automação Sociedade Brasileira de Automatica 15 (1), 101-108, 2004 | 10 | 2004 |
Automatic system for visual detection of dirt buildup on conveyor belts using convolutional neural networks AA Santos, FAS Rocha, AJR Reis, FG Guimarães Sensors 20 (20), 5762, 2020 | 7 | 2020 |
A SOM-based hierarchical model to short-term load forecasting OAS Carpinteiro, AJR Reis 2005 IEEE Russia Power Tech, 1-6, 2005 | 7 | 2005 |
A general variable neighborhood search heuristic for short term load forecasting in smart grids environment VN Coelho, FG Guimarães, AJR Reis, BN Coelho, IM Coelho, MJF Souza 2014 Clemson University Power Systems Conference, 1-8, 2014 | 6 | 2014 |
A hybrid evolutionary probabilistic forecasting model applied for rainfall and wind power forecast GG Netto, AC Barbosa, MN Coelho, ARL Miranda, VN Coelho, ... 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 73-78, 2016 | 5 | 2016 |
Application of neural networks in the classification of incipient faults in power transformers: A study of case LG Castanheira, JA de Vasconcelos, AJR Reis, PHV Magalhães, ... The 2011 International Joint Conference on Neural Networks, 3099-3104, 2011 | 5 | 2011 |
A multiobjective estimation of distribution algorithm based on artificial bee colony FT Novais, LS Batista, AJ Rocha, FG Guimarães 2013 BRICS Congress on Computational Intelligence and 11th Brazilian …, 2013 | 4 | 2013 |
Enhancing neural network based load forecasting via preprocessing APA da Silva, AJR Reis, MA El-Sharkawi, RJ Marks Proceedings of the International Conference on Intelligent System …, 2001 | 4 | 2001 |
Préprocessamento de séries temporais para a previsão de carga a curto prazo via redes neurais AJ Rocha Reis, AP Alves da Silva Anais do XIII Congresso Brasileiro de Automática, 1138-1143, 2000 | 4 | 2000 |
A water flow control with OnLine neurofuzzy controller using a dynamic learning rate H Gomes, C Ferreira, E Oliveira, A Reis, W Caminhas Anais do XV Encontro Nacional de Inteligência Artificial e Computacional …, 2018 | 3 | 2018 |
Enhancing neural networks-based classification of incipient faults in power transformers via preprocessing AJR Reis, LG Castanheira, RC Barbosa 2013 BRICS Congress on Computational Intelligence and 11th Brazilian …, 2013 | 3 | 2013 |
A hierarchical hybrid neural model in short-termload forecasting. OAS Carpinteiro, AJR Reis, PS Quintanilha Filho | 3 | 2004 |