Leonel Carvalho
Leonel Carvalho
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Wind power forecasting uncertainty and unit commitment
J Wang, A Botterud, R Bessa, H Keko, L Carvalho, D Issicaba, J Sumaili, ...
Applied Energy 88 (11), 4014-4023, 2011
Improving power system reliability calculation efficiency with EPSO variants
V Miranda, L de Magalhaes Carvalho, MA Da Rosa, AML Da Silva, ...
IEEE Transactions on Power Systems 24 (4), 1772-1779, 2009
Technical-economic analysis for the integration of PV systems in Brazil considering policy and regulatory issues
PV Gomes, NK Neto, L Carvalho, J Sumaili, JT Saraiva, BH Dias, ...
Energy policy 115, 199-206, 2018
Simplified cross-entropy based approach for generating capacity reliability assessment
L de Magalhães Carvalho, RA Gonzalez-Fernandez, AML Da Silva, ...
IEEE Transactions on Power Systems 28 (2), 1609-1616, 2012
Probabilistic analysis for maximizing the grid integration of wind power generation
L de Magalhães Carvalho, MA da Rosa, AML da Silva, V Miranda
IEEE Transactions on Power Systems 27 (4), 2323-2331, 2012
Multi-temporal optimal power flow for voltage control in MV networks using distributed energy resources
JL Meirinhos, DE Rua, LM Carvalho, AG Madureira
Electric Power Systems Research 146, 25-32, 2017
Online security assessment with load and renewable generation uncertainty: The itesla project approach
MH Vasconcelos, LM Carvalho, J Meirinhos, N Omont, P Gambier-Morel, ...
2016 International Conference on Probabilistic Methods Applied to Power …, 2016
Solving security constrained optimal power flow problems: a hybrid evolutionary approach
CG Marcelino, PEM Almeida, EF Wanner, M Baumann, M Weil, ...
Applied Intelligence 48 (10), 3672-3690, 2018
Coping with wind power uncertainty in unit commitment: A robust approach using the new hybrid metaheuristic deepso
R Pinto, LM Carvalho, J Sumaili, MSS Pinto, V Miranda
2015 IEEE Eindhoven PowerTech, 1-6, 2015
Statistical tuning of DEEPSO soft constraints in the security constrained optimal power flow problem
LM Carvalho, F Loureiro, J Sumaili, H Keko, V Miranda, CG Marcelino, ...
2015 18th International Conference on Intelligent System Application to …, 2015
Modeling wind power uncertainty in the long-term operational reserve adequacy assessment: A comparative analysis between the Naïve and the ARIMA forecasting models
LM Carvalho, J Teixeira, M Matos
2016 International Conference on Probabilistic Methods Applied to Power …, 2016
Security-constrained optimal power flow via cross-entropy method
L de Magalhães Carvalho, AML da Silva, V Miranda
IEEE Transactions on Power Systems 33 (6), 6621-6629, 2018
Modern computing environment for power system reliability assessment
MA Da Rosa, V Miranda, L Carvalho, AML da Silva
2010 IEEE 11th International Conference on Probabilistic Methods Applied to …, 2010
Impact of decision-making models in Transmission Expansion Planning considering large shares of renewable energy sources
PV Gomes, JT Saraiva, L Carvalho, B Dias, LW Oliveira
Electric Power Systems Research 174, 105852, 2019
Fundamentals of the C-DEEPSO algorithm and its application to the reactive power optimization of wind farms
CG Marcelino, PEM Almeida, EF Wanner, LM Carvalho, V Miranda
2016 IEEE Congress on Evolutionary Computation (CEC), 1547-1554, 2016
Aggregated dynamic model of active distribution networks for large voltage disturbances
N Fulgêncio, C Moreira, L Carvalho, JP Lopes
Electric Power Systems Research 178, 106006, 2020
The STABALID project: Risk analysis of stationary Li-ion batteries for power system applications
FJ Soares, L Carvalho, IC Costa, JP Iria, JM Bodet, G Jacinto, A Lecocq, ...
Reliability Engineering & System Safety 140, 142-175, 2015
Load modeling of active low‐voltage consumers and comparative analysis of their impact on distribution system expansion planning
N Knak Neto, AR Abaide, V Miranda, P Vilaça Gomes, L Carvalho, ...
International Transactions on Electrical Energy Systems 29 (8), e12038, 2019
Mitigation in the very short-term of risk from wind ramps with unforeseen severity
M Pinto, V Miranda, O Saavedra, L Carvalho, J Sumaili
Journal of Control, Automation and Electrical Systems 28 (2), 247-258, 2017
Using evolutionary swarms (EPSO) in power system reliability indices calculation
LM Carvalho
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