Stefano Frizzo Stefenon
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Time series forecasting using ensemble learning methods for emergency prevention in hydroelectric power plants with dam
SF Stefenon, MHDM Ribeiro, A Nied, KC Yow, VC Mariani, ...
Electric Power Systems Research 202, 107584, 2022
Wavelet group method of data handling for fault prediction in electrical power insulators
SF Stefenon, MHDM Ribeiro, A Nied, VC Mariani, L dos Santos Coelho, ...
International Journal of Electrical Power & Energy Systems 123, 106269, 2020
Electricity price forecasting based on self-adaptive decomposition and heterogeneous ensemble learning
MHDM Ribeiro, SF Stefenon, JD de Lima, A Nied, VC Mariani, LS Coelho
Energies 13 (19), 5190, 2020
Optimized ensemble extreme learning machine for classification of electrical insulators conditions
SF Stefenon, RB Grebogi, RZ Freire, A Nied, LH Meyer
IEEE transactions on industrial electronics 67 (6), 5170-5178, 2019
Electrical insulator fault forecasting based on a wavelet neuro-fuzzy system
S Frizzo Stefenon, R Zanetti Freire, L dos Santos Coelho, LH Meyer, ...
Energies 13 (2), 484, 2020
Echo state network applied for classification of medium voltage insulators
SF Stefenon, LO Seman, NFS Neto, LH Meyer, A Nied, KC Yow
International Journal of Electrical Power & Energy Systems 134, 107336, 2022
Hybrid wavelet stacking ensemble model for insulators contamination forecasting
SF Stefenon, MHDM Ribeiro, A Nied, VC Mariani, LDS Coelho, ...
IEEE Access 9, 66387-66397, 2021
Classification of Contaminated Insulators Using k-Nearest Neighbors Based on Computer Vision
MP Corso, FL Perez, SF Stefenon, KC Yow, R García Ovejero, ...
Computers 10 (9), 112, 2021
Hybrid-YOLO for classification of insulators defects in transmission lines based on UAV
BJ Souza, SF Stefenon, G Singh, RZ Freire
International Journal of Electrical Power & Energy Systems 148, 108982, 2023
Deep learning for photovoltaic generation forecast in active solar trackers
C Kasburg, SF Stefenon
IEEE Latin America Transactions 17 (12), 2013-2019, 2019
Fault prediction based on leakage current in contaminated insulators using enhanced time series forecasting models
NF Sopelsa Neto, SF Stefenon, LH Meyer, RG Ovejero, VRQ Leithardt
Sensors 22 (16), 6121, 2022
Classification of insulators using neural network based on computer vision
SF Stefenon, MP Corso, A Nied, FL Perez, KC Yow, GV Gonzalez, ...
IET Generation, Transmission & Distribution 16 (6), 1096-1107, 2022
A study of multilayer perceptron networks applied to classification of ceramic insulators using ultrasound
NF Sopelsa Neto, SF Stefenon, LH Meyer, R Bruns, A Nied, LO Seman, ...
Applied Sciences 11 (4), 1592, 2021
Fault detection in insulators based on ultrasonic signal processing using a hybrid deep learning technique
S Frizzo Stefenon, R Zanetti Freire, L Henrique Meyer, M Picolotto Corso, ...
IET Science, Measurement & Technology 14 (10), 953-961, 2020
Hybrid deep learning for power generation forecasting in active solar trackers
S Frizzo Stefenon, C Kasburg, A Nied, AC Rodrigues Klaar, ...
IET Generation, Transmission & Distribution 14 (23), 5667-5674, 2020
Photovoltaic power forecasting using wavelet Neuro-Fuzzy for active solar trackers
SF Stefenon, C Kasburg, RZ Freire, FC Silva Ferreira, DW Bertol, A Nied
Journal of Intelligent & Fuzzy Systems 40 (1), 1083-1096, 2021
Analysis of training techniques of ANN for classification of insulators in electrical power systems
S Frizzo Stefenon, N Waldrigues Branco, A Nied, D Wildgrube Bertol, ...
IET Generation, Transmission & Distribution 14 (8), 1591-1597, 2020
Fault diagnosis of insulators from ultrasound detection using neural networks
S Frizzo Stefenon, MC Silva, DW Bertol, LH Meyer, A Nied
Journal of Intelligent & Fuzzy Systems 37 (5), 6655-6664, 2019
Semi-ProtoPNet deep neural network for the classification of defective power grid distribution structures
SF Stefenon, G Singh, KC Yow, A Cimatti
Sensors 22 (13), 4859, 2022
Diagnostic of insulators of conventional grid through LabVIEW analysis of FFT signal generated from ultrasound detector
SF Stefenon, JR Oliveira, AS Coelho, LH Meyer
IEEE Latin America Transactions 15 (5), 884-889, 2017
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