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Graduação em Engenharia Elétrica pela Universidade Regional de Blumenau (2012), Mestrado em Engenharia Elétrica (Sistemas de Potência) pela Universidade Regional de Blumenau (2015), Doutorado em Engenharia Elétrica pela Universidade do Estado de Santa Catarina (2021). De 2020 a 2021 desenvolveu pesquisa como Visiting Graduate Scientific Researcher em inteligência artificial aplicada à identificação de falhas em isoladores de alta tensão na University of Regina (Faculty of Engineering and Applied Science), através do Emerging Leaders in the Americas Program (ELAP), do Governo do Canadá. Foi coordenador do curso de graduação em Engenharia Elétrica na Universidade do Planalto Catarinense (UNIPLAC) de 2016 à 2020 e coordenador do setor de internacionalização no ano de 2020. Sua pesquisa está focada em condition monitoring and predictive maintenance of complex industrial systems: Model-based reasoning meets data science.
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Identification

Personal identification

Full name
Stefano Frizzo Stefenon

Citation names

  • Stefenon, Stefano
  • Stefenon, Stefano Frizzo
  • Stefenon, S. F.
  • Stefenon, S.

Author identifiers

Ciência ID
4019-BB36-7F74
ORCID iD
0000-0002-3723-616X
Google Scholar ID
https://scholar.google.com/citations?user=ToyM0y8AAAAJ&hl=en&oi=ao
LattesiD
http://lattes.cnpq.br/2700330390310739
Researcher Id
AAD-7639-2019
Scopus Author Id
57194147390

Knowledge fields

  • Exact Sciences - Computer and Information Sciences
  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Italian Upper intermediate (B2) Upper intermediate (B2) Intermediate (B1) Upper intermediate (B2) Upper intermediate (B2)
Education
Degree Classification
2018/08/01 - 2021/11/26
Concluded
 Engenharia Elétrica (Doctor)
Universidade do Estado de Santa Catarina, Brazil
"CLASSIFICAÇÃO E PREVISÃO DE FALHAS EM ISOLADORES DE DISTRIBUIÇÃO POR MEIO DO PROCESSAMENTO DE SINAL ULTRASSÔNICO" (THESIS/DISSERTATION)
 A
2012/03 - 2015/02
Concluded
 Engenharia Elétrica (Master)
Major in Sistemas de Potência
Fundaçao Universidade Regional de Blumenau, Brazil
"Estudo das técnicas de inspeção de redes de distribuição para identificação e classificação de defeitos em isoladores através do uso do ultrassom" (THESIS/DISSERTATION)
 A
2007/02 - 2012/06
Concluded
 Engenharia Elétrica (Bachelor)
Fundaçao Universidade Regional de Blumenau, Brazil
Affiliation

Science

Category
Host institution 		Employer
2020/11/01 - 2021/10/31 Visiting Researcher (Research) University of Regina, Canada
University of Regina Faculty of Engineering & Applied Science, Canada

Teaching in Higher Education

Category
Host institution 		Employer
2014/08/08 - 2024/06/01 Assistant Professor (University Teacher) Universidade do Planalto Catarinense, Brazil
2018/05/01 - 2021/05/01 Assistant Professor (University Teacher) Universidade do Estado de Santa Catarina, Brazil
Outputs

Publications

Book chapter
  1. Stefano Frizzo Stefenon; Marco Cristoforetti; Alessandro Cimatti. "Towards Automatic Digitalization of Railway Engineering Schematics". 2023.
    10.1007/978-3-031-47546-7_31
Journal article
  1. Cesar Vinicius Zuege; Stefano Frizzo Stefenon; Cristina Keiko Yamaguchi; Viviana Cocco Mariani; Gabriel Villarrubia Gonzalez; Leandro dos Santos Coelho. "Wind speed forecasting approach using conformal prediction and feature importance selection". International Journal of Electrical Power & Energy Systems (2025): https://doi.org/10.1016/j.ijepes.2025.110700.
    10.1016/j.ijepes.2025.110700
  2. Stefano Frizzo Stefenon; Marco Cristoforetti; Alessandro Cimatti. "Automatic digitalization of railway interlocking systems engineering drawings based on hybrid machine learning methods". Expert Systems with Applications (2025): https://doi.org/10.1016/j.eswa.2025.127532.
    10.1016/j.eswa.2025.127532
  3. Stefano Frizzo Stefenon; Laio Oriel Seman; Gurmail Singh; Kin-Choong Yow. "Enhanced insulator fault detection using optimized ensemble of deep learning models based on weighted boxes fusion". International Journal of Electrical Power & Energy Systems (2025): https://doi.org/10.1016/j.ijepes.2025.110682.
    10.1016/j.ijepes.2025.110682
  4. Roger de T. Guerra; Cristina K. Yamaguchi; Stefano F. Stefenon; Leandro dos S. Coelho; Viviana C. Mariani. "Deep Learning Approach for Automatic Heartbeat Classification". Sensors (2025): https://doi.org/10.3390/s25051400.
    10.3390/s25051400
  5. Stefano Frizzo Stefenon; Laio Oriel Seman; Cristina Keiko Yamaguchi; Leandro Dos Santos Coelho; Viviana Cocco Mariani; João Pedro Matos-Carvalho; Valderi Reis Quietinho Leithardt. "Neural Hierarchical Interpolation Time Series (NHITS) for Reservoir Level Multi-Horizon Forecasting in Hydroelectric Power Plants". IEEE Access (2025): https://doi.org/10.1109/ACCESS.2025.3554446.
    10.1109/ACCESS.2025.3554446
  6. Stefano Frizzo Stefenon; Laio Oriel Seman; Evandro Cardozo da Silva; Erlon Cristian Finardi; Leandro dos Santos Coelho; Viviana Cocco Mariani. "Hypertuned wavelet convolutional neural network with long short-term memory for time series forecasting in hydroelectric power plants". Energy (2024): https://doi.org/10.1016/j.energy.2024.133918.
    10.1016/j.energy.2024.133918
  7. José Henrique Kleinübing Larcher; Stefano Frizzo Stefenon; Leandro dos Santos Coelho; Viviana Cocco Mariani. "Enhanced multi-step streamflow series forecasting using hybrid signal decomposition and optimized reservoir computing models". Expert Systems with Applications (2024): https://doi.org/10.1016/j.eswa.2024.124856.
    10.1016/j.eswa.2024.124856
  8. Bernardo Luis Tuleski; CRISTINA KEIKO YAMAGUCHI; Stefano Frizzo Stefenon; Leandro dos Santos Coelho; Viviana Cocco Mariani. "Audio-Based Engine Fault Diagnosis with Wavelet, Markov Blanket, ROCKET, and Optimized Machine Learning Classifiers". Sensors (2024): https://www.mdpi.com/1424-8220/24/22/7316.
    10.3390/s24227316
  9. Sinvaldo Rodrigues Moreno; Laio Oriel Seman; Stefano Frizzo Stefenon; Leandro dos Santos Coelho; Viviana Cocco Mariani. "Enhancing wind speed forecasting through synergy of machine learning, singular spectral analysis, and variational mode decomposition". Energy (2024): https://doi.org/10.1016/j.energy.2024.130493.
    10.1016/j.energy.2024.130493
  10. "Hypertuned temporal fusion transformer for multi-horizon time series forecasting of dam level in hydroelectric power plants". INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 157 (2024): https://air.uniud.it/handle/11390/1273385.
    10.1016/j.ijepes.2024.109876
  11. "Hypertuned-YOLO for interpretable distribution power grid fault location based on EigenCAM". AIN SHAMS ENGINEERING JOURNAL (2024): https://air.uniud.it/handle/11390/1274644.
    10.1016/j.asej.2024.102722
  12. "Enhancing hydroelectric inflow prediction in the Brazilian power system: A comparative analysis of machine learning models and hyperparameter optimization for decision support". ELECTRIC POWER SYSTEMS RESEARCH 230 (2024): https://air.uniud.it/handle/11390/1274024.
    10.1016/j.epsr.2024.110275
  13. Marcos Yamasaki, Junior; Roberto Zanetti Freire; Laio Oriel Seman; Stefano Frizzo Stefenon; Viviana Cocco Mariani; Leandro dos Santos Coelho. "Optimized hybrid ensemble learning approaches applied to very short-term load forecasting". International Journal of Electrical Power & Energy Systems (2024): https://doi.org/10.1016/j.ijepes.2023.109579.
    10.1016/j.ijepes.2023.109579
  14. Ribeiro, Matheus Henrique Dal Molin; da Silva, Ramon Gomes; Moreno, Sinvaldo Rodrigues; Canton, Cristiane; Larcher, Jose Henrique Kleinuebing; Stefenon, Stefano Frizzo; Mariani, Viviana Cocco; Coelho, Leandro dos Santos. "Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting". Applied Intelligence (2024): https://publons.com/wos-op/publon/66763846/.
    10.1007/S10489-024-05331-2
  15. Yamasaki Junior, Marcos; Freire, Roberto Zanetti; Seman, Laio Oriel; Stefenon, Stefano Frizzo; Mariani, Viviana Cocco; Coelho, Leandro dos Santos. "Optimized hybrid ensemble learning approaches applied to very short-term load forecasting". International Journal of Electrical Power & Energy Systems (2024): https://publons.com/wos-op/publon/64799226/.
    10.1016/J.IJEPES.2023.109579
  16. Laio Oriel Seman; Stefano Frizzo Stefenon; Viviana Cocco Mariani; Leandro dos Santos Coelho. "Ensemble learning methods using the Hodrick–Prescott filter for fault forecasting in insulators of the electrical power grids". International Journal of Electrical Power & Energy Systems (2023): https://doi.org/10.1016/j.ijepes.2023.109269.
    10.1016/j.ijepes.2023.109269
  17. Stefano Frizzo Stefenon; Gurmail Singh; Bruno José Souza; Roberto Zanetti Freire; Kin-Choong Yow. "Optimized hybrid YOLOu-Quasi-ProtoPNet for insulators classification". IET Generation, Transmission & Distribution (2023): https://doi.org/10.1049/gtd2.12886.
    10.1049/gtd2.12886
  18. Guilherme Augusto Silva Surek; Laio Oriel Seman; Stefano Frizzo Stefenon; Viviana Cocco Mariani; Leandro dos Santos Coelho. "Video-Based Human Activity Recognition Using Deep Learning Approaches". Sensors (2023): https://doi.org/10.3390/s23146384.
    10.3390/s23146384
  19. Stefano Frizzo Stefenon; Laio Oriel Seman; Nemesio Fava Sopelsa Neto; Luiz Henrique Meyer; Viviana Cocco Mariani; Leandro dos Santos Coelho. "Group Method of Data Handling Using Christiano–Fitzgerald Random Walk Filter for Insulator Fault Prediction". Sensors (2023): https://doi.org/10.3390/s23136118.
    10.3390/s23136118
  20. Stefano Frizzo Stefenon; Laio Oriel Seman; Luiza Scapinello Aquino; Leandro dos Santos Coelho. "Wavelet-Seq2Seq-LSTM with attention for time series forecasting of level of dams in hydroelectric power plants". Energy (2023): https://doi.org/10.1016/j.energy.2023.127350.
    10.1016/j.energy.2023.127350
  21. Andressa Borré; Laio Oriel Seman; Eduardo Camponogara; Stefano Frizzo Stefenon; Viviana Cocco Mariani; Leandro dos Santos Coelho. "Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model". Sensors (2023): https://doi.org/10.3390/s23094512.
    10.3390/s23094512
  22. Gurmail Singh; Stefano Frizzo Stefenon; Kin-Choong Yow. "Interpretable visual transmission lines inspections using pseudo-prototypical part network". Machine Vision and Applications (2023): https://doi.org/10.1007/s00138-023-01390-6.
    10.1007/s00138-023-01390-6
  23. Anne Carolina Rodrigues Klaar; Stefano Frizzo Stefenon; Laio Oriel Seman; Viviana Cocco Mariani; Leandro dos Santos Coelho. "Structure Optimization of Ensemble Learning Methods and Seasonal Decomposition Approaches to Energy Price Forecasting in Latin America: A Case Study about Mexico". Energies (2023): https://doi.org/10.3390/en16073184.
    10.3390/en16073184
  24. Anne Carolina Rodrigues Klaar; Stefano Frizzo Stefenon; Laio Oriel Seman; Viviana Cocco Mariani; Leandro dos Santos Coelho. "Optimized EWT-Seq2Seq-LSTM with Attention Mechanism to Insulators Fault Prediction". Sensors (2023): https://doi.org/10.3390/s23063202.
    10.3390/s23063202
  25. Luiz Alfonso Glasenapp; Aurélio Faustino Hoppe; Miguel Alexandre Wisintainer; Andreza Sartori; Stefano Frizzo Stefenon. "OCR Applied for Identification of Vehicles with Irregular Documentation Using IoT". Electronics (2023): https://doi.org/10.3390/electronics12051083.
    10.3390/electronics12051083
  26. Stefano Frizzo Stefenon; Laio Oriel Seman; Viviana Cocco Mariani; Leandro dos Santos Coelho. "Aggregating Prophet and Seasonal Trend Decomposition for Time Series Forecasting of Italian Electricity Spot Prices". Energies (2023): https://doi.org/10.3390/en16031371.
    10.3390/en16031371
  27. Wilbert, Henrique José; Hoppe, Aurélio Faustino; Sartori, Andreza; Stefenon, Stefano Frizzo; Silva, Luís Augusto. "Recency, Frequency, Monetary Value, Clustering, and Internal and External Indices for Customer Segmentation from Retail Data". ALGORITHMS 16 9 (2023): https://air.uniud.it/handle/11390/1255685.
    10.3390/a16090396
  28. Souza, B. J.; Stefenon Frizzo, S.; Singh, G; Freire, R. Z.. "Hybrid-YOLO for classification of insulators defects in transmission lines based on UAV". INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 148 (2023): https://air.uniud.it/handle/11390/1242744.
    10.1016/j.ijepes.2023.108982
  29. "Evaluation of visible contamination on power grid insulators using convolutional neural networks". ELECTRICAL ENGINEERING (2023): https://air.uniud.it/handle/11390/1254471.
    10.1007/s00202-023-01915-2
  30. Sérgio Henrique Lopes Cabral; Stefano Frizzo Stefenon; Raúl García Ovejero; Valderi Reis Quietinho Leithardt. "Practical Validation of a New Analytical Method for the Analysis of Power Transmission Lines at Steady State". IEEE Access (2023): https://doi.org/10.1109/ACCESS.2023.3303410.
    10.1109/ACCESS.2023.3303410
  31. da Rocha Fernandes, Anita Maria; Cassaniga, Mateus Junior; Passos, Bianka Tallita; Comunello, Eros; Stefenon, Stefano Frizzo; Quietinho Leithardt, Valderi Reis. "Detection and classification of cracks and potholes in road images using texture descriptors". Journal of Intelligent & Fuzzy Systems (2023): https://publons.com/wos-op/publon/54422281/.
    10.3233/JIFS-223218
  32. Westarb, Gustavo; Stefenon, Stefano Frizzo; Hoppe, Aurelio Faustino; Sartori, Andreza; Rodrigues Klaar, Anne Carolina; Quietinho Leithardt, Valderi Reis. "Complex graph neural networks for medication interaction verification". Journal of Intelligent & Fuzzy Systems (2023): https://publons.com/wos-op/publon/54470922/.
    10.3233/JIFS-223656
  33. Stefano Frizzo Stefenon; Kin-Choong Yow; Ademir Nied; Luiz Henrique Meyer. "Classification of distribution power grid structures using inception v3 deep neural network". Electrical Engineering (2022): https://doi.org/10.1007/s00202-022-01641-1.
    10.1007/s00202-022-01641-1
  34. Nathielle Waldrigues Branco; Mariana Santos Matos Cavalca; Stefano Frizzo Stefenon; Valderi Reis Quietinho Leithardt. "Wavelet LSTM for Fault Forecasting in Electrical Power Grids". Sensors (2022): https://doi.org/10.3390/s22218323.
    10.3390/s22218323
  35. Nemesio Fava Sopelsa Neto; Stefano Frizzo Stefenon; Luiz Henrique Meyer; Raúl García Ovejero; Valderi Reis Quietinho Leithardt; Raul Garcia Ovejero. "Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models". Sensors (2022): https://doi.org/10.3390/s22166121.
    10.3390/s22166121
  36. "Semi-ProtoPNet Deep Neural Network for the Classification of Defective Power Grid Distribution Structures". Sensors 22 13 (2022): 4859-4859. http://dx.doi.org/10.3390/s22134859.
    10.3390/s22134859
  37. Stéfano Frizzo Stefenon; Laio Oriel Seman; Bruno Antonio Pavan; Raúl García Ovejero; Valderi Reis Quietinho Leithardt. "Optimal design of electrical power distribution grid spacers using finite element method". IET Generation, Transmission & Distribution 16 9 (2022): 1865-1876. https://doi.org/10.1049/gtd2.12425.
    10.1049/gtd2.12425
  38. Stéfano Frizzo Stefenon; Clodoaldo Schutel Furtado Neto; Thiago Spindola Coelho; Ademir Nied; Cristina Keiko Yamaguchi; Kin-Choong Yow. "Particle swarm optimization for design of insulators of distribution power system based on finite element method". Electrical Engineering (2022): https://doi.org/10.1007/s00202-021-01332-3.
    10.1007/s00202-021-01332-3
  39. "Analysis of the Ultrasonic Signal in Polymeric Contaminated Insulators Through Ensemble Learning Methods". IEEE Access 10 (2022): 33980-33991. http://dx.doi.org/10.1109/access.2022.3161506.
    10.1109/access.2022.3161506
  40. Stéfano Frizzo Stefenon; Marcelo Picolotto Corso; Ademir Nied; Fabio Luis Perez; Kin-Choong Yow; Gabriel Villarrubia Gonzalez; Valderi Reis Quietinho Leithardt. "Classification of insulators using neural network based on computer vision". IET Generation, Transmission & Distribution (2022): https://doi.org/10.1049/gtd2.12353.
    10.1049/gtd2.12353
  41. Vieira, Joelton Cezar; Sartori, Andreza; Stefenon, Stefano Frizzo; Perez, Fabio Luis; De Jesus, Gabriel Schneider; Leithardt, Valderi Reis Quietinho. "Low-cost CNN for Automatic Violence Recognition on Embedded System". IEEE ACCESS 10 (2022): 25190-25202. https://air.uniud.it/handle/11390/1220689.
    10.1109/ACCESS.2022.3155123
  42. Stefenon, S. F.; Ribeiro, M. H. D. M.; Nied, A.; Yow, K. -C.; Mariani, V. C.; Coelho, L. D. S.; Seman, L. O.. "Time series forecasting using ensemble learning methods for emergency prevention in hydroelectric power plants with dam". ELECTRIC POWER SYSTEMS RESEARCH 202 (2022): https://air.uniud.it/handle/11390/1217170.
    10.1016/j.epsr.2021.107584
  43. "Echo state network applied for classification of medium voltage insulators". International Journal of Electrical Power & Energy Systems (2021):
    10.1016/j.ijepes.2021.107336
  44. "Long short-term memory stacking model to predict the number of cases and deaths caused by COVID-19". Journal of Intelligent & Fuzzy Systems (2021): https://doi.org/10.3233/JIFS-212788.
    10.3233/JIFS-212788
  45. "Comparison of artificial intelligence techniques to failure prediction in contaminated insulators based on leakage current". Journal of Intelligent & Fuzzy Systems (2021): https://doi.org/10.3233/JIFS-211126.
    10.3233/JIFS-211126
  46. "Static Attitude Determination Using Convolutional Neural Networks". Sensors 21 19 (2021): 6419-6419. http://dx.doi.org/10.3390/s21196419.
    10.3390/s21196419
  47. Marcelo Picolotto Corso; Fabio Luis Perez; Stéfano Frizzo Stefenon; Kin-Choong Yow; Raúl García Ovejero; Valderi Reis Quietinho Leithardt. "Classification of Contaminated Insulators Using k-Nearest Neighbors Based on Computer Vision". Computers 10 9 (2021): 112-112. https://doi.org/10.3390/computers10090112.
    10.3390/computers10090112
  48. "Practical Aspects of the Skin Effect in Low Frequencies in Rectangular Conductors". IEEE Access (2021): https://ieeexplore.ieee.org/document/9389749.
    10.1109/ACCESS.2021.3069821
  49. "Experimental Comparison of Preferential vs. Common Delta Connections for the Star-Delta Starting of Induction Motors". Energies (2021): https://www.mdpi.com/1996-1073/14/5/1318.
    10.3390/en14051318
  50. "Development of Measurement Device and Data Acquisition for Electric Vehicle". Revista Gestão Inovação e Tecnologias 11 1 (2021): 5809-5822. http://dx.doi.org/10.7198/geintec.v11i1.1203.
    10.7198/geintec.v11i1.1203
  51. Stefenon, S.F.; Kasburg, C.; Freire, R.Z.; Ferreira, F.C.S.; Bertol, D.W.; Nied, A.. "Photovoltaic power forecasting using wavelet Neuro-Fuzzy for active solar trackers". Journal of Intelligent and Fuzzy Systems 40 1 (2021): 1083-1096. http://www.scopus.com/inward/record.url?eid=2-s2.0-85099052575&partnerID=MN8TOARS.
    10.3233/JIFS-201279
  52. Neto, N.F.S.; Stefenon, S.F.; Meyer, L.H.; Bruns, R.; Nied, A.; Seman, L.O.; Gonzalez, G.V.; Leithardt, V.R.Q.; Yow, K.-C.. "A study of multilayer perceptron networks applied to classification of ceramic insulators using ultrasound". Applied Sciences (Switzerland) 11 4 (2021): 1-19. http://www.scopus.com/inward/record.url?eid=2-s2.0-85100894047&partnerID=MN8TOARS.
    10.3390/app11041592
  53. Stefano Frizzo Stefenon; Matheus Henrique Dal Molin Ribeiro; Ademir Nied; Viviana Cocco Mariani; Leandro Dos Santos Coelho; Valderi Reis Quietinho Leithardt; Luis Augusto Silva; Laio Oriel Seman. "Hybrid Wavelet Stacking Ensemble Model for Insulators Contamination Forecasting". IEEE Access 9 (2021): 66387-66397. https://doi.org/10.1109/ACCESS.2021.3076410.
    10.1109/ACCESS.2021.3076410
  54. "Fault Detection in Insulators Based on Ultrasonic Signal Processing Using a Hybrid Deep Learning Technique". IET Science, Measurement and Technology (2020): https://digital-library.theiet.org/content/journals/10.1049/iet-smt.2020.0083.
    10.1049/iet-smt.2020.0083
  55. Fabricio Leonardo Ribeiro; Rafael Gattino Furtado; Stéfano Frizzo Stefenon; Graciela Alessandra Dela Rocca; Gabriel Constante Carvalho. "AVALIAÇÃO TÉCNICA E DE VIABILIDADE ECONÔMICA DA UTILIZAÇÃO DA TECNOLOGIA PLC". Conexões - Ciência e Tecnologia (2020): https://doi.org/10.21439/conexoes.v14i3.1433.
    10.21439/conexoes.v14i3.1433
  56. Madalena Pereira da Silva; Marina Patrício De Arruda; Marlene Zwierewicz; Stéfano Frizzo Stefenon; Fernanda Cristina Silva Ferreira; Anne Carolina Rodrigues Klaar; Cristina Keiko Yamaguchi; et al. "THE MOBILITY OF PROFESSORS IN PERFORMING DISTANCE EDUCATION ACTIVITIES". International Journal for Innovation Education and Research (2020): https://doi.org/10.31686/ijier.vol8.iss4.2303.
    10.31686/ijier.vol8.iss4.2303
  57. Muniz, R.N.; Stefenon, S.F.; Buratto, W.G.; Nied, A.; Meyer, L.H.; Finardi, E.C.; Kühl, R.M.; de Sá, J.A.S.; da Rocha, B.R.P.. "Tools for measuring energy sustainability: A comparative review". Energies 13 9 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85084937778&partnerID=MN8TOARS.
    10.3390/en13092366
  58. Stefenon, S.F.; Dal Molin Ribeiro, M.H.; Nied, A.; Mariani, V.C.; Coelho, L.D.S.; Menegat da Rocha, D.F.; Grebogi, R.B.; Ruano, A.E.D.B.. "Wavelet group method of data handling for fault prediction in electrical power insulators". International Journal of Electrical Power and Energy Systems 123 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85086991622&partnerID=MN8TOARS.
    10.1016/j.ijepes.2020.106269
  59. Yamaguchi, C.K.; Stefenon, S.F.; Ramos, N.K.; dos Santos, V.S.; Forbici, F.; Klaar, A.C.R.; Ferreira, F.C.S.; et al. "Young people’s perceptions about the difficulties of entrepreneurship and developing rural properties in family agriculture". Sustainability (Switzerland) 12 21 (2020): 1-12. http://www.scopus.com/inward/record.url?eid=2-s2.0-85094210316&partnerID=MN8TOARS.
    10.3390/su12218783
  60. Ribeiro, M.H.D.M.; Stefenon, S.F.; Lima, J.D.D.; Nied, A.; Mariani, V.C.; Coelho, L.D.S.. "Electricity price forecasting based on self-adaptive decomposition and heterogeneous ensemble learning". Energies 13 19 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85092702540&partnerID=MN8TOARS.
    10.3390/en13195190
  61. Stefenon, S.F.; Freire, R.Z.; dos Santos Coelho, L.; Meyer, L.H.; Grebogi, R.B.; Buratto, W.G.; Nied, A.. "Electrical insulator fault forecasting based on a wavelet neuro-fuzzy system". Energies 13 2 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85078477073&partnerID=MN8TOARS.
    10.3390/en13020484
  62. Stefenon, S.F.; Branco, N.W.; Nied, A.; Bertol, D.W.; Finardi, E.C.; Sartori, A.; Meyer, L.H.; Grebogi, R.B.. "Analysis of training techniques of ANN for classification of insulators in electrical power systems". IET Generation, Transmission and Distribution 14 8 (2020): 1591-1597. http://www.scopus.com/inward/record.url?eid=2-s2.0-85082885427&partnerID=MN8TOARS.
    10.1049/iet-gtd.2019.1579
  63. Stefenon, S.F.; Grebogi, R.B.; Freire, R.Z.; Nied, A.; Meyer, L.H.. "Optimized Ensemble Extreme Learning Machine for Classification of Electrical Insulators Conditions". IEEE Transactions on Industrial Electronics 67 6 (2020): 5170-5178. http://www.scopus.com/inward/record.url?eid=2-s2.0-85079755874&partnerID=MN8TOARS.
    10.1109/TIE.2019.2926044
  64. Stefenon, S.F.; Kasburg, C.; Nied, A.; Klaar, A.C.R.; Ferreira, F.C.S.; Branco, N.W.. "Hybrid deep learning for power generation forecasting in active solar trackers". IET Generation, Transmission and Distribution 14 23 (2020): 5667-5674. http://www.scopus.com/inward/record.url?eid=2-s2.0-85095721838&partnerID=MN8TOARS.
    10.1049/iet-gtd.2020.0814
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Preprint
  1. Stefano Frizzo Stefenon; Marco Cristoforetti; Alessandro Cimatti. "Conditional Diffusion to Enhance Performance of Object Detection in Unbalanced Data Engineering Drawings". 2025. https://doi.org/10.21203/rs.3.rs-6204987/v1.
    10.21203/rs.3.rs-6204987/v1