关注
Ramon Gomes da Silva
Ramon Gomes da Silva
Industrial Engineer; Data Scientist, Banco Bradesco; PhD in Computational Intelligence
在 pucpr.edu.br 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil
MHDM Ribeiro, RG da Silva, VC Mariani, L dos Santos Coelho
Chaos, Solitons & Fractals 135, 109853, 2020
5432020
Multi-step wind speed forecasting based on hybrid multi-stage decomposition model and long short-term memory neural network
SR Moreno, RG da Silva, VC Mariani, L dos Santos Coelho
Energy Conversion and Management 213, 112869, 2020
1732020
A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting
RG da Silva, MHDM Ribeiro, SR Moreno, VC Mariani, ...
Energy 216, 119174, 2021
1562021
Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables
RG Da Silva, MHDM Ribeiro, VC Mariani, L dos Santos Coelho
Chaos, Solitons & Fractals 139, 110027, 2020
1472020
Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting
MHDM Ribeiro, RG da Silva, SR Moreno, VC Mariani, ...
International Journal of Electrical Power & Energy Systems 136, 107712, 2022
1072022
Multi-step short-term wind speed forecasting based on multi-stage decomposition coupled with stacking-ensemble learning approach
RG da Silva, SR Moreno, MHDM Ribeiro, JHK Larcher, VC Mariani, ...
International Journal of Electrical Power & Energy Systems 143, 108504, 2022
552022
Discrete differential evolution metaheuristics for permutation flow shop scheduling problems
M de Fátima Morais, MHDM Ribeiro, RG da Silva, VC Mariani, ...
Computers & Industrial Engineering 166, 107956, 2022
402022
Cooperative ensemble learning model improves electric short-term load forecasting
MHDM Ribeiro, RG da Silva, GT Ribeiro, VC Mariani, ...
Chaos, Solitons & Fractals 166, 112982, 2023
362023
Multi-step ahead bitcoin price forecasting based on VMD and ensemble learning methods
RG Da Silva, MHDM Ribeiro, N Fraccanabbia, VC Mariani, ...
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
192020
Solar power forecasting based on ensemble learning methods
N Fraccanabbia, RG da Silva, MHDM Ribeiro, SR Moreno, ...
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
172020
Very short-term wind energy forecasting based on stacking ensemble
SR Moreno, RG da Silva, MHDM Ribeiro, N Fraccanabbia, VC Mariani, ...
Brazilian Computational Intelligence Meeting (CBIC 2019) 1 (14), 1-7, 2019
102019
Electricity energy price forecasting based on hybrid multi-stage heterogeneous ensemble: Brazilian commercial and residential cases
MHDM Ribeiro, RG da Silva, C Canton, N Fraccanabbia, VC Mariani, ...
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
92020
Ensemble learning models coupled with urban mobility information applied to predict COVID-19 incidence cases
MHDM Ribeiro, RG da Silva, JHK Larcher, VC Mariani, LS Coelho
Modeling, Control and Drug Development for COVID-19 Outbreak Prevention, 821-858, 2022
72022
Forecasting epidemiological time series based on decomposition and optimization approaches
MHDM Ribeiro, RG da Silva, N Fraccanabbia, VC Mariani, LS Coelho
Brazilian Computational Intelligence Meeting (CBIC 2019) 1 (14), 1-8, 2019
62019
Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting
MHDM Ribeiro, RG da Silva, SR Moreno, C Canton, JHK Larcher, ...
Applied Intelligence 54 (4), 3119-3134, 2024
52024
Wind power forecasting based on bagging extreme learning machine ensemble model.
MHDM Ribeiro, SR Moreno, RG da Silva, JHK Larcher, C Canton, ...
ESANN, 2022
42022
Forecasting COVID-19 pandemic using an echo state neural network-based framework
JHK Larcher, RG Da Silva, MHDM Ribeiro, LDS Coelho, VC Mariani
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
32021
Seasonal-trend and multiobjective ensemble learning model for water consumption forecasting
MHDM Ribeiro, RG Da Silva, JHK Larcher, JD De Lima, VC Mariani, ...
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
32021
Application of a demand forecasting model in a rental company of billiard tables
RG da Silva, AB de Oliveira, IC da Silva, TO Farias
Journal of Engineering and Technology for Industrial Applications 4 (15), 53-58, 2018
3*2018
Decoding electroencephalography signal response by stacking ensemble learning and adaptive differential evolution
MHDM Ribeiro, RG da Silva, JHK Larcher, A Mendes, VC Mariani, ...
Sensors 23 (16), 7049, 2023
22023
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