| Comparison of seven numerical methods for determining Weibull parameters for wind energy generation in the northeast region of Brazil PAC Rocha, RC de Sousa, CF de Andrade, MEV da Silva Applied Energy 89 (1), 395-400, 2012 | 513 | 2012 |
| k–ω SST (shear stress transport) turbulence model calibration: A case study on a small scale horizontal axis wind turbine PAC Rocha, HHB Rocha, FOM Carneiro, MEV Da Silva, AV Bueno Energy 65, 412-418, 2014 | 196 | 2014 |
| An efficiency comparison of numerical methods for determining Weibull parameters for wind energy applications: A new approach applied to the northeast region of Brazil CF De Andrade, HFM Neto, PAC Rocha, MEV da Silva Energy conversion and Management 86, 801-808, 2014 | 116 | 2014 |
| A case study on the calibration of the k–ω SST (shear stress transport) turbulence model for small scale wind turbines designed with cambered and symmetrical airfoils PAC Rocha, HHB Rocha, FOM Carneiro, MEV da Silva, CF de Andrade Energy 97, 144-150, 2016 | 72 | 2016 |
| Ridge regression ensemble of machine learning models applied to solar and wind forecasting in Brazil and Spain TC Carneiro, PAC Rocha, PCM Carvalho, LM Fernández-Ramírez Applied Energy 314, 118936, 2022 | 60 | 2022 |
| The effects of blade pitch angle on the performance of small-scale wind turbine in urban environments PAC Rocha, JWC de Araujo, RJP Lima, MEV da Silva, D Albiero, ... Energy 148, 169-178, 2018 | 49 | 2018 |
| Investigation of possible societal risk associated with wind power generation systems FOM Carneiro, HHB Rocha, PAC Rocha Renewable and Sustainable Energy Reviews 19, 30-36, 2013 | 41 | 2013 |
| Estimation of daily, weekly and monthly global solar radiation using ANNs and a long data set: a case study of Fortaleza, in Brazilian Northeast region PAC Rocha, JL Fernandes, AB Modolo, RJP Lima, MEV da Silva, ... International Journal of Energy and Environmental Engineering 10, 319-334, 2019 | 40 | 2019 |
| Performance analysis of metaheuristic optimization algorithms in estimating the parameters of several wind speed distributions KS Guedes, CF de Andrade, PAC Rocha, RS Mangueira, EP de Moura Applied energy 268, 114952, 2020 | 33 | 2020 |
| Imbalance classification in a scaled-down wind turbine using radial basis function kernel and support vector machines T de Oliveira Nogueira, GBA Palacio, FD Braga, PPN Maia, EP de Moura, ... Energy 238, 122064, 2022 | 27 | 2022 |
| Four heuristic optimization algorithms applied to wind energy: determination of Weibull curve parameters for three Brazilian sites C Freitas de Andrade, L Ferreira dos Santos, MV Silveira Macedo, ... International Journal of Energy and Environmental Engineering 10, 1-12, 2019 | 26 | 2019 |
| Classification of imbalance levels in a scaled wind turbine through detrended fluctuation analysis of vibration signals EP de Moura, FEAM Junior, FFR Damasceno, LCC Figueiredo, ... Renewable Energy 96, 993-1002, 2016 | 26 | 2016 |
| Global horizontal and direct normal solar irradiance modeling by the machine learning methods XGBoost and deep neural networks with CNN-LSTM layers: A case study using the GOES … PAC Rocha, VO Santos International Journal of Energy and Environmental Engineering 13 (4), 1271-1286, 2022 | 22 | 2022 |
| Application and analysis of the moving mesh algorithm AMI in a small scale HAWT: Validation with field test's results against the frozen rotor approach FOM Carneiro, LFM Moura, PAC Rocha, RJP Lima, KAR Ismail Energy 171, 819-829, 2019 | 21 | 2019 |
| Spatiotemporal analysis of bidimensional wind speed forecasting: Development and thorough assessment of LSTM and ensemble graph neural networks on the Dutch database VO Santos, PAC Rocha, J Scott, JVG Thé, B Gharabaghi Energy 278, 127852, 2023 | 16 | 2023 |
| Unbalance evaluation of a scaled wind turbine under different rotational regimes via detrended fluctuation analysis of vibration signals combined with pattern recognition … FEAM Junior, EP de Moura, PAC Rocha, CF de Andrade Energy 171, 556-565, 2019 | 14 | 2019 |
| Short-term solar irradiance forecasting using CNN-1D, LSTM, and CNN-LSTM deep neural networks: A case study with the Folsom (USA) dataset FP Marinho, PAC Rocha, ARR Neto, FDV Bezerra Journal of Solar Energy Engineering 145 (4), 041002, 2023 | 13 | 2023 |
| Spatiotemporal air pollution forecasting in houston-TX: a case study for ozone using deep graph neural networks V Oliveira Santos, PA Costa Rocha, J Scott, J Van Griensven Thé, ... Atmosphere 14 (2), 308, 2023 | 13 | 2023 |
| Deep neural network modeling for CFD simulations: benchmarking the fourier neural operator on the lid-driven cavity case PA Costa Rocha, SJ Johnston, V Oliveira Santos, AA Aliabadi, JVG Thé, ... Applied Sciences 13 (5), 3165, 2023 | 11 | 2023 |
| Exergy analysis of glycerol steam reforming in a heat recovery reactor FPF Dias, IT Fernandes, AV Bueno, PAC Rocha, MLM de Oliveira international journal of hydrogen energy 46 (13), 8995-9007, 2021 | 11 | 2021 |
Carla Andradedepartamento de engenharia mecanica, universidade federal do CearáVerified email at ufc.br
