Solving security constrained optimal power flow problems: a hybrid evolutionary approach CG Marcelino, PEM Almeida, EF Wanner, M Baumann, M Weil, ... Applied Intelligence 48, 3672-3690, 2018 | 47 | 2018 |
An efficient multi-objective evolutionary approach for solving the operation of multi-reservoir system scheduling in hydro-power plants CG Marcelino, GMC Leite, CADM Delgado, LB de Oliveira, EF Wanner, ... Expert Systems with Applications 185, 115638, 2021 | 37 | 2021 |
A combined optimisation and decision-making approach for battery-supported HMGS C Marcelino, M Baumann, L Carvalho, N Chibeles-Martins, M Weil, ... Journal of the Operational Research Society 71 (5), 762-774, 2020 | 27 | 2020 |
Environmental impacts of different battery technologies in renewable hybrid micro-grids M Baumann, J Peters, M Weil, C Marcelino, P Almeida, E Wanner 2017 IEEE PES innovative smart grid technologies conference Europe (ISGT …, 2017 | 23 | 2017 |
Statistical Tuning of DEEPSO Soft Constraints in the Security Constrained Optimal Power Flow Problem LM CARVALHO, F LOULEIRO, J SUMAILI, H KEKO, CG MARCELINO, ... IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, 2015 | 20 | 2015 |
Evaluating the use of a Net-Metering mechanism in microgrids to reduce power generation costs with a swarm-intelligent algorithm CG Marcelino, GMC Leite, EF Wanner, S Jiménez-Fernández, ... Energy 266, 126317, 2023 | 19 | 2023 |
Optimal generation scheduling in hydro-power plants with the coral reefs optimization algorithm CG Marcelino, C Camacho-Gómez, S Jiménez-Fernández, ... Energies 14 (9), 2443, 2021 | 19 | 2021 |
Applying C-DEEPSO to solve large scale global optimization problems C Marcelino, P Almeida, C Pedreira, L Caroalha, E Wanner 2018 IEEE Congress on Evolutionary Computation (CEC), 1-6, 2018 | 15 | 2018 |
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 | 13 | 2016 |
A new model for optimization of hybrid microgrids using evolutionary algorithms C Marcelino, M Baumann, P Almeida, E Wanner, M Weil IEEE Latin America Transactions 16 (3), 799-805, 2018 | 12 | 2018 |
Missing data analysis in regression CG Marcelino, GMC Leite, P Celes, CE Pedreira Applied Artificial Intelligence 36 (1), 2032925, 2022 | 11 | 2022 |
Dynamic electric dispatch for wind power plants: A new automatic controller system using evolutionary algorithms CG Marcelino, JVC Avancini, CADM Delgado, EF Wanner, ... Sustainability 13 (21), 11924, 2021 | 10 | 2021 |
An algorithm based on evolution strategies for makespan minimization in hybrid flexible flowshop scheduling problems EC de Siqueira, MJF Souza, SR de Souza, MF de França Filho, ... 2013 IEEE Congress on Evolutionary Computation, 989-996, 2013 | 10 | 2013 |
A successful parallel implementation of NSGA-II on GPU for the energy dispatch problem on hydroelectric power plants LB de Oliveira, CG Marcelino, A Milanés, PEM Almeida, LM Carvalho 2016 IEEE Congress on Evolutionary Computation (CEC), 4305-4312, 2016 | 9 | 2016 |
Multi-objective identification of critical distribution network assets in large interruption datasets CG Marcelino, V Torres, L Carvalho, M Matos, V Miranda International Journal of Electrical Power & Energy Systems 137, 107747, 2022 | 8 | 2022 |
A viability study of renewables and energy storage systems using multicriteria decision making and an evolutionary approach CG Marcelino, CE Pedreira, M Baumann, M Weil, PEM Almeida, ... Evolutionary Multi-Criterion Optimization: 10th International Conference …, 2019 | 8 | 2019 |
Application of evolutionary multiobjective algorithms for solving the problem of energy dispatch in hydroelectric power plants CG Marcelino, LM Carvalho, PEM Almeida, EF Wanner, V Miranda International Conference on Evolutionary Multi-Criterion Optimization, 403-417, 2015 | 8 | 2015 |
Solving an energy resource management problem with a novel multi-objective evolutionary reinforcement learning method GMC Leite, S Jiménez-Fernández, S Salcedo-Sanz, CG Marcelino, ... Knowledge-Based Systems 280, 111027, 2023 | 7 | 2023 |
Evaluating the risk of uncertainty in smart grids with electric vehicles using an evolutionary swarm-intelligent algorithm GMC Leite, CG Marcelino, CE Pedreira, S Jiménez-Fernández, ... Journal of Cleaner Production 401, 136775, 2023 | 6 | 2023 |
Cross-entropy boosted CRO-SL for optimal power flow in smart grids CG Marcelino, J Pérez-Aracil, EF Wanner, S Jiménez-Fernández, ... Soft computing 27 (10), 6549-6572, 2023 | 6 | 2023 |