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Paulo Alexandre Costa Rocha

Observed names: P. A. C. ROCHA, P. A. C. Rocha, P. A. Costa Rocha, P.A. Costa Rocha, P.A.C. Rocha, Paulo Alexandre Rocha, Paulo A. C. Rocha, Paulo A. Costa Rocha, Paulo A.C. Rocha, Paulo Alexandre Costa ROCHA, Paulo Rocha, Rocha, Paulo A. C., Rocha, Paulo Alexandre Costa
ORCID: 0000-0002-4366-366X
Observed ORCID: 0000-0002-4366-366X
OpenAlex ID: A5064624600
Comparison of seven numerical methods for determining Weibull parameters for wind energy generation in the northeast region of Brazil
2011 · Paulo Alexandre Costa Rocha, Ricardo Coelho de Sousa, et al. · Applied Energy · 470
k–ω SST (shear stress transport) turbulence model calibration: A case study on a small scale horizontal axis wind turbine
2013 · P.A. Costa Rocha, H.H. Barbosa Rocha, et al. · Energy · 192
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Ridge regression ensemble of machine learning models applied to solar and wind forecasting in Brazil and Spain
2022 · Tatiane C. Carneiro, Paulo A.C. Rocha, et al. · Applied Energy · 141
An efficiency comparison of numerical methods for determining Weibull parameters for wind energy applications: A new approach applied to the northeast region of Brazil
2014 · Carla Freitas de Andrade, Hely Falcão Maia Neto, et al. · Energy Conversion and Management · 124
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
2016 · P. A. Costa Rocha, H. H. Barbosa Rocha, et al. · Energy · 85
Short-Term Solar Irradiance Forecasting Using CNN-1D, LSTM, and CNN-LSTM Deep Neural Networks: A Case Study With the Folsom (USA) Dataset
2022 · Felipe P. Marinho, Paulo A. C. Rocha, et al. · Journal of Solar Energy Engineering · 63
Performance analysis of metaheuristic optimization algorithms in estimating the parameters of several wind speed distributions
2020 · Kevin S. Guedes, Carla F. de Andrade, et al. · Applied Energy · 54
The effects of blade pitch angle on the performance of small-scale wind turbine in urban environments
2018 · P.A. Costa Rocha, J.W. Carneiro de Araujo, et al. · Energy · 51
Spatiotemporal analysis of bidimensional wind speed forecasting: Development and thorough assessment of LSTM and ensemble graph neural networks on the Dutch database
2023 · Victor Oliveira Santos, Paulo Alexandre Costa Rocha, et al. · Energy · 48
Imbalance classification in a scaled-down wind turbine using radial basis function kernel and support vector machines
2021 · Tiago de Oliveira Nogueira, Gilderlânio Barbosa Alves Palacio, et al. · Energy · 42
Spatiotemporal Air Pollution Forecasting in Houston-TX: A Case Study for Ozone Using Deep Graph Neural Networks
2023 · Victor Oliveira Santos, Paulo Alexandre Costa Rocha, et al. · Atmosphere · 41
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A New Graph-Based Deep Learning Model to Predict Flooding with Validation on a Case Study on the Humber River
2023 · Victor Oliveira Santos, Paulo Alexandre Costa Rocha, et al. · Water · 39
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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
2019 · P. A. Costa Rocha, J. L. Fernandes, et al. · International journal of energy and environmental engineering · 37
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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-16 satellite imagery
2022 · Paulo A. C. Rocha, Victor Oliveira Santos · International journal of energy and environmental engineering · 36
Four heuristic optimization algorithms applied to wind energy: determination of Weibull curve parameters for three Brazilian sites
2018 · Carla Freitas de Andrade, Lindemberg Ferreira dos Santos, et al. · International journal of energy and environmental engineering · 33
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Comparison of the performance of different wind speed distribution models applied to onshore and offshore wind speed data in the Northeast Brazil
2023 · Davi Ribeiro Lins, Kevin Santos Guedes, et al. · Energy · 29
Classification of imbalance levels in a scaled wind turbine through detrended fluctuation analysis of vibration signals
2016 · Elineudo Pinho de Moura, Francisco Erivan de Abreu Melo Junior, et al. · Renewable Energy · 29
Chlorophyll-a Estimation in 149 Tropical Semi-Arid Reservoirs Using Remote Sensing Data and Six Machine Learning Methods
2024 · Victor Oliveira Santos, Bruna Monallize Duarte Moura Guimarães, et al. · Remote Sensing · 26
Investigation of possible societal risk associated with wind power generation systems
2012 · F.O. Moura Carneiro, H.H. Barbosa Rocha, et al. · Renewable and Sustainable Energy Reviews · 26
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
2019 · F.O.M. Carneiro, L.F.M. Moura, et al. · Energy · 25
Application of Quantum Neural Network for Solar Irradiance Forecasting: A Case Study Using the Folsom Dataset, California
2024 · Victor Oliveira Santos, Felipe Pinto Marinho, et al. · Energies · 23
Deep Neural Network Modeling for CFD Simulations: Benchmarking the Fourier Neural Operator on the Lid-Driven Cavity Case
2023 · Paulo Alexandre Costa Rocha, Samuel Joseph Johnston, et al. · Applied Sciences · 23
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Unbalance evaluation of a scaled wind turbine under different rotational regimes via detrended fluctuation analysis of vibration signals combined with pattern recognition techniques
2019 · Francisco Erivan de Abreu Melo Junior, Elineudo Pinho de Moura, et al. · Energy · 22
Machine Learning Dynamic Ensemble Methods for Solar Irradiance and Wind Speed Predictions
2023 · Francisco Diego Vidal Bezerra, Felipe Pinto Marinho, et al. · Atmosphere · 21
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New Graph-Based and Transformer Deep Learning Models for River Dissolved Oxygen Forecasting
2023 · Paulo Alexandre Costa Rocha, Victor Oliveira Santos, et al. · Environments · 20
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Works count: 113
Citation count: 1,889
H-index: 22
I10-index: 31
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