Real time preventive actions for transient stability enhancement with a hybrid neural network-optimization approach V Miranda, JN Fidalgo, JAP Lopes, LB Almeida IEEE transactions on Power Systems 10 (2), 1029-1035, 1995 | 106 | 1995 |
Load forecasting performance enhancement when facing anomalous events JN Fidalgo, JAP Lopes IEEE transactions on power systems 20 (1), 408-415, 2005 | 75 | 2005 |
Using a neural network to predict the dynamic frequency response of a power system to an under-frequency load shedding scenario MA Mitchell, JAP Lopes, JN Fidalgo, JD McCalley 2000 Power Engineering Society Summer Meeting (Cat. No. 00CH37134) 1, 346-351, 2000 | 71 | 2000 |
Neural networks applied to preventive control measures for the dynamic security of isolated power systems with renewables JN Fidalgo, JAP Lopes, V Miranda IEEE Transactions on Power Systems 11 (4), 1811-1816, 1996 | 61 | 1996 |
A new clustering algorithm for load profiling based on billing data JN Fidalgo, MA Matos, L Ribeiro Electric Power Systems Research 82 (1), 27-33, 2012 | 40 | 2012 |
Forecasting Portugal global load with artificial neural networks JN Fidalgo, MA Matos Artificial Neural Networks–ICANN 2007: 17th International Conference, Porto …, 2007 | 38 | 2007 |
Assessing error bars in distribution load curve estimation JN Fidalgo, MA Matos, MT Ponce de Leão Artificial Neural Networks—ICANN'97: 7th International Conference Lausanne …, 1997 | 30 | 1997 |
Predicting long-term wind speed in wind farms of northeast brazil: A comparative analysis through machine learning models M Paula, C Marilaine, FJ Nuno, C Wallace IEEE Latin America Transactions 18 (11), 2011-2018, 2020 | 29 | 2020 |
A multi-energy modelling, simulation and optimization environment for urban energy infrastructure planning J Page | 29 | 2013 |
Feature selection based on ann sensitivity analysis-a practical study JN Fidalgo | 26 | 2001 |
Forecasting active and reactive power at substations' transformers JN Fidalgo, JAP Lopes 2003 IEEE Bologna Power Tech Conference Proceedings, 1, 6 pp. Vol. 1, 2003 | 24 | 2003 |
Fostering microgeneration in power systems: The effect of legislative limitations JN Fidalgo, DBMM Fontes Electric Power Systems Research 84 (1), 181-186, 2012 | 20 | 2012 |
Experimenting in the optimal capacitor placement and control problem with hybrid mathematical-genetic algorithms V Miranda, NW Oo, JN Fidalgo Proceedings of ISAP, 2001 | 20 | 2001 |
A general approach for security monitoring and preventive control of networks with large wind power production H Vasconcelos, JN Fidalgo, JP Lopes | 18 | 2002 |
Deriving LV load diagrams for market purposes using commercial information MA Matos, JN Fidalgo, LF Ribeiro Proceedings of the 13th International Conference on, Intelligent Systems …, 2005 | 17 | 2005 |
Impact of load unbalance on low voltage network losses JN Fidalgo, C Moreira, R Cavalheiro 2019 IEEE Milan PowerTech, 1-5, 2019 | 15 | 2019 |
Implementation of dynamic tariffs in the Portuguese electricity system-preliminary results of a Cost-Benefit Analysis JT Saraiva, JN Fidalgo, RB Pinto, R Soares, JS Afonso, G Pires 2016 13th International Conference on the European Energy Market (EEM), 1-5, 2016 | 15 | 2016 |
Neural networks used for on-line dynamic security assessment of isolated power systems with a large penetration from wind production-A real case study JA Pecas-Lopes, JN Fidalgo, V Miranda, N Hatziargyriou Proc. of Rough Sets and Soft Computing Conference 94, 1994 | 15 | 1994 |
Metaheuristics applied to power systems MGC Resende, JP de Sousa, MA Matos, MTP de Leão, JT Saraiva, ... Metaheuristics: computer decision-making, 449-464, 2004 | 14 | 2004 |
Desenvolvimento de ferramentas de análise do impacto técnico da integração de microprodução e veículos elétricos–parte II JAP Lopes, JPT Saraiva, JN Fidalgo, N Fonseca, Y Phulpin Relatório Técnico Projeto REIVE, setembro de, 2012 | 13 | 2012 |