Research published across engineering and AI.

Carvalho, J. P. M., Stefenon, S. F., Ribeiro, M. H. D. M., Yow, K. C. Hybrid Kalman filter-Kolmogorov-Arnold network using local interpretable model-agnostic explanations for photovoltaic power forecasting. SN Computer Science (Spring. Nature), vol. 7, no. 4, p. 319, 2026. Doi: 10.1007/s42979-026-04823-x ↗. (JCR IF = 2.4)

Heidrich, M. Z., Reis, M. A. F., Yamaguchi, C. K., Seman, L. O., Stefenon, S. F. Patch-based transformer with mixture of experts and conformal inference for curtailment time series forecasting. IEEE Access (IEEE), vol. 14, pp. 64144-64160, 2026. Doi: 10.1109/ACCESS.2026.3686958 ↗. (JCR IF = 4.2)

Seman, L. O., Stefenon, S. F., & Matos-Carvalho, J. P. Decomposition-driven Mamba state space models with expert routing for wind curtailment forecasting. Electric Power Systems Research, vol. 260, p. 113259, 2026. Doi: 10.1016/j.epsr.2026.113259 ↗. (JCR IF = 4.2)

Takara, L. D. A., De Souza, R. C. T., Mariani, V. C., dos Santos Coelho, L., Stefenon, S. F. Multi-scale convolutional Chebyshev Kolmogorov-Arnold networks using conformal prediction for photovoltaic power forecasting. IEEE Access (IEEE), vol. 14, pp. 81170-81194, 2026. Doi: 10.1109/ACCESS.2026.3694780 ↗. (JCR IF = 4.2)

Seman, L. O., Stefenon, S. F., Yow, K. C. Sparse mixture of experts enhanced transformer architecture for short-term hydroelectric reservoir volume prediction. Electric Power Systems Research vol. 255, p. 112754, 2026. Doi: 10.1016/j.epsr.2026.112754 ↗. (JCR IF = 4.2)

Stefenon, S. F., Yow, K. C. Graph attention network with mutual k-nearest neighbor strategy for predictive maintenance in nuclear power plants. Technologies (MDPI), vol. 14, n. 1, p. 26, 2026. Doi: 10.3390/technologies14010026 ↗. (JCR IF = 5.2)

Stefenon, S. F., Yow, K. C. Stacked graph attention network hypertuned by Heteroscedastic and Evolutionary Bayesian Optimization for fault identification on nuclear power plants robust to sensor drift. Scientific Reports (Spring. Nature), vol. preprint, 2026. Doi: 10.1038/s41598-026-60045-4 ↗. (JCR IF = 4.9)

Buratto, W. G., Gonzalez, G. V., Nied, A., Seman, L. O., Klaar, A. C. R., Stefenon, S. F. An autonomous large language model‐agent framework for transparent and local time series forecasting. Advanced Intelligent Discovery (Wiley), vol. preprint, 2026. Doi: 10.1002/aidi.202500236 ↗.

Stefenon, S. F., El-Hag, A., Bagheri, M., Shaban, K., Kordi, B., Ghunem, R., Kornhuber, S. Machine Learning and Deep Learning-Based Condition Assessment of Outdoor Ceramic Insulators: A Comprehensive Review. IEEE Transactions on Dielectrics and Electrical Insulation. 2026. Doi: 10.1109/TDEI.2026.3693222 ↗. (JCR IF = 3.3)

Stefenon, S. F., Matos-Carvalho, J. P., Mariani, V. C., Coelho, L. S., Yow, K. C. Diffusion-augmented YOLO26-Swin cascaded framework with hybrid SHAP-CAM for autonomous power grid inspection. Autonomous Intelligent Systems, vol. 6, no. 1, p. 13, 2026. Doi: 10.1007/s43684-026-00135-2 ↗. (JCR IF = 4.7)

Stefenon, S. F., Cristoforetti, M., Cimatti, A. Automatic digitalization of railway interlocking systems engineering drawings based on hybrid machine learning methods. Expert Systems with Applications (Elsevier), vol. 281, p. 127532, 2025. Doi: 10.1016/j.eswa.2025.127532 ↗. (JCR IF = 9.4)

Stefenon, S. F., Cristoforetti, M., Cimatti, A. Conditional diffusion to enhance performance of object detection in unbalanced data engineering drawings. Neural Computing and Applications (Spring. Nature), vol. 37, pp. 20335-20364, 2025. Doi: 10.1007/s00521-025-11458-1 ↗. (JCR IF = 4.5)

Seman, L. O., Aquino, L. S., Stefenon, S. F., Yow, K. C., Mariani, V. C., Coelho, L. S. (2025). Simultaneously anomaly detection and forecasting for predictive maintenance using a zero-cost differentiable architecture search-based network. Computers & Industrial Engineering (Elsevier), vol. 208, p. 111412, 2025. Doi: 10.1016/j.cie.2025.111412 ↗. (JCR IF = 6.5)

Stefenon, S. F., Yow, K. C. Adaptive filter-driven optimized attention-based CNN-LSTM for load forecasting in microgrids. Results in Engineering (Elsevier), vol. 28, p. 107470, 2025. Doi: 10.1016/j.rineng.2025.107470 ↗. (JCR IF = 9.4)

Singh, G., Stefenon, S. F., Yow, K. C. The shallowest transparent and interpretable deep neural network for image recognition. Scientific Reports (Spring. Nature), vol. 15, no. 1, p. 13940. Doi: 10.1038/s41598-025-92945-2 ↗. (JCR IF = 4.9)

Aquino, L. S., Seman, L. O., Mariani, V. C., Coelho, L. D. S., Stefenon, S. F., Gonzalez, G. V. (2025). Spatiotemporal wind energy forecasting: A comprehensive survey and a deep equilibrium-based case study with StemGNN. IEEE Access (IEEE), vol. 13, pp. 131461-131482, 2025. Doi: 10.1109/ACCESS.2025.3586997 ↗. (JCR IF = 4.2)

Seman, L. O., Klaar, A. C. R., Ribeiro, M. H. D. M., Stefenon, S. F. (2025). Enhanced Random Vector Functional Link Networks With Bayesian-Based Hyperparameter Optimization for Wind Speed Forecasting. IEEE Access (IEEE), vol. 13, pp. 208105-208122, 2025. Doi: 10.1109/ACCESS.2025.3640434 ↗. (JCR IF = 4.2)

Stefenon, S. F., Seman, L. O., Singh, G., Yow, K.-C., Enhanced insulator fault detection using optimized ensemble of deep learning models based on weighted boxes fusion. International Journal of Electrical Power & Energy Systems (Elsevier), vol. 168, p. 110682, 2025. Doi: 10.1016/j.ijepes.2025.110682 ↗. (JCR IF = 5.3)

Stefenon, S. F., Seman, L. O., Yamaguchi, C. K., Coelho, L. D. S., Mariani, V. C., Matos-Carvalho, J. P., Leithardt, V. R. Neural hierarchical interpolation time series (NHITS) for reservoir level multi-horizon forecasting in hydroelectric power plants. IEEE Access (IEEE), vol. 13, pp. 54853-54865, 2025. Doi: 10.1109/ACCESS.2025.3554446 ↗. (JCR IF = 4.2)

Muniz, R. N., Stefenon, S. F., Buratto, W. G., Nied, A., Cardoso, R., Yamaguchi, C. K., Yow, K. C. Time series forecasting based on multi-criteria optimization for model and filter selection applied to hydroelectric power plants. Energy (Elsevier), vol. 337, p. 138688, 2025. Doi: 10.1016/j.energy.2025.138688 ↗. (JCR IF = 10.1)

Zuege, C. V., Stefenon, S. F., Yamaguchi, C. K., Mariani, V. C., Gonzalez, G. V. Coelho, L. D. S. Wind speed forecasting approach using conformal prediction and feature importance selection. International Journal of Electrical Power & Energy Systems (Elsevier), vol. 168, p. 110700, 2025. Doi: 10.1016/j.ijepes.2025.110700 ↗. (JCR IF = 5.3)

Guerra, R. D. T., Yamaguchi, C. K., Stefenon, S. F., Coelho, L. D. S., & Mariani, V. C. Deep learning approach for automatic heartbeat classification. Sensors (MDPI), vol. 25, no. 5, p. 1400, 2025. Doi: 10.3390/s25051400 ↗. (JCR IF = 3.5)

Stefenon, S. F., Seman, L. O., Silva, E. C., Finardi, E. C., Coelho, L. S., et al. Hypertuned wavelet convolutional neural network with long short-term memory for time series forecasting in hydroelectric power plants. Energy (Elsevier), vol. 157, p. 109876, 2024. Doi: 10.1016/j.energy.2024.133918 ↗. (JCR IF = 10.1)

Stefenon, S. F., Seman, L. O., da Silva, L. S. A., Mariani, V. C., Coelho, L. S. Hypertuned temporal fusion transformer for multi-horizon time series forecasting of dam level in hydroelectric power plants. International Journal of Electrical Power & Energy Systems (Elsevier), vol. 157, p. 109876, 2024. Doi: 10.1016/j.ijepes.2024.109876 ↗. (JCR IF = 5.3)

Stefenon, S. F., Seman, L. O., Klaar, A. C. R., Ovejero, R. G., et al. Hypertuned-YOLO for interpretable distribution power grid fault location based on EigenCAM. Ain Shams Engineering Journal (Elsevier), vol. 15, n. 6, p. 102722, 2024. Doi: 10.1016/j.asej.2024.102722 ↗. (JCR IF = 6.2)

Larcher, J.H.K., Stefenon, S. F., Coelho, L. S., Mariani, V.C. Enhanced multi-step streamflow series forecasting using hybrid signal decomposition and optimized reservoir computing models. Expert Systems with Applications (Elsevier), vol. 255, p. 124856, 2024. Doi: 10.1016/j.eswa.2024.124856 ↗. (JCR IF = 9.4)

Moreno, S. R., Seman, L. O., Stefenon, S. F., et al. Enhancing wind speed forecasting through synergy of machine learning, singular spectral analysis, and variational mode decomposition. Energy (Elsevier), vol. 292, p. 130493, 2024. Doi: 10.1016/j.energy.2024.130493 ↗. (JCR IF = 10.1)

Silva, E. C., Finardi, E. C., Stefenon, S. F. 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 (Elsevier), vol. 230, p. 110275, 2024. Doi: 10.1016/j.epsr.2024.110275 ↗. (JCR IF = 4.2)

Yamasaki, M., Freire, R. Z., Seman, L. O., Stefenon, S. F., Mariani, V. C., Coelho, L. S. Optimized hybrid ensemble learning approaches applied to very short-term load forecasting. International Journal of Electrical Power & Energy Systems (Elsevier), vol. 155, part B, p. 109579, 2024. Doi: 10.1016/j.ijepes.2023.109579 ↗. (JCR IF = 5.3)

Ribeiro, M.H.D.M., da Silva, R.G., Moreno, S.R., Canton, C., Larcher, J. H. K., Stefenon, S. F., Mariani, V. C., Coelho, L. S. Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting. Applied Intelligence (Springer Nature), vol. 54, pp. 3119–3134, 2024. Doi: 10.1007/s10489-024-05331-2 ↗. (JCR IF = 3.5)

Tuleski, B. L., Yamaguchi, C. K., Stefenon, S. F., et al. Audio-Based Engine Fault Diagnosis with Wavelet, Markov Blanket, ROCKET, and Optimized Machine Learning Classifiers. Sensors (MDPI), vol. 24, no. 22, p. 7316, 2024. Doi: 10.3390/s24227316 ↗. (JCR IF = 3.5)

Stefenon, S. F., Seman, L. O., Aquino, L. S., Coelho, L. S. Wavelet-Seq2Seq-LSTM with attention for time series forecasting of level of dams in hydroelectric power plants. Energy (Elsevier), vol. 274, p. 127350, 2023. Doi: 10.1016/j.energy.2023.127350 ↗. (JCR IF = 10.1)

Stefenon, S. F., Singh, G., Souza, B. J., Freire, R. Z., Yow, K.-C., Optimized hybrid YOLOu- Quasi-ProtoPNet for insulators classification. IET Generation, Transmission & Distribution (Wiley), vol. 17, no. 15, pp. 3501-3511, 2023. Doi: 10.1049/gtd2.12886 ↗. (JCR IF = 2.6)

Stefenon, S. F., Seman, L. O., Sopelsa Neto, N. F., Meyer, L. H., Mariani, V. C., et al. Group method of data handling using Christiano–Fitzgerald random walk filter for insulator fault prediction. Sensors (MDPI), vol. 23, no. 13, p. 6118, 2023. Doi: 10.3390/s23136118 ↗. (JCR IF = 3.5)

Stefenon, S. F., Seman, L. O., Mariani, V. C., Coelho, L. S. Aggregating Prophet and seasonal trend decomposition for time series forecasting of Italian electricity spot prices. Energies (MDPI), vol. 16, no. 3, p. 1371, 2023. Doi: 10.3390/en16031371 ↗. (JCR IF = 3.9)

Seman, L. O., Stefenon, S. F., Mariani, V. C., Coelho, L. S. 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 (Elsevier), vol. 152, p. 109269, 2023. Doi: 10.1016/j.ijepes.2023.109269 ↗. (JCR IF = 5.3)

Cabral, S. H. L., Stefenon, S. F., Ovejero, R. G., Leithardt, V. R. Q. Practical validation of a new analytical method for the analysis of power transmission lines at steady state. IEEE Access (IEEE), vol. 11, pp. 87667-87675, 2023. Doi: 10.1109/ACCESS.2023.3303410 ↗. (JCR IF = 3.6)

Singh, G., Stefenon, S. F., Yow, K-C. Interpretable visual transmission lines inspections using pseudo-prototypical part network. Machine Vision and Applications (Springer Nature), vol. 34, p. 41, 2023. Doi: 10.1007/s00138-023-01390-6 ↗. (JCR IF = 2.3)

Souza, B. J., Stefenon, S. F., Singh, G., et al. Hybrid-YOLO for classification of insulators defects in transmission lines based on UAV. International Journal of Electrical Power & Energy Systems (Elsevier), vol. 148, p. 108982, 2023. Doi: 10.1016/j.ijepes.2023.108982 ↗. (JCR IF = 5.3)

Corso, M.P., Stefenon, S. F., Singh, G., et al. Evaluation of visible contamination on power grid insulators using convolutional neural networks. Electrical Engineering (Springer Nature), vol. 105, pp. 3881–3894, 2023. Doi: 10.1007/s00202-023-01915-2 ↗. (JCR IF = 2.7)

Klaar, A. C. R., Stefenon, S. F., Seman, L. O., Mariani, V. C., Coelho, L. S. Optimized EWT- Seq2Seq-LSTM with attention mechanism to insulators fault prediction. Sensors (MDPI), vol. 23, no. 6, p. 3202, 2023. Doi: 10.3390/s23063202 ↗. (JCR IF = 3.5)

Klaar, A. C. R., Stefenon, S. F., Seman, L. O., Mariani, V. C., Coelho, L. S. Structure optimization of ensemble learning methods and seasonal decomposition approaches to energy price forecasting in Latin America: A case study about Mexico. Energies (MDPI), vol. 16, no. 7, p. 3184, 2023. Doi: 10.3390/en16073184 ↗. (JCR IF = 3.9)

Westarb, G., Stefenon, S. F., Hoppe, A. F., Sartori, A., Klaar, A. C. R., Leithardt, V. R. Q. Complex graph neural networks for medication interaction verification. Journal of Intelligent & Fuzzy Systems (IOS Press), vol. 44, no. 6, pp. 10383-10395, 2023. Doi: 10.3233/JIFS-223656 ↗. (JCR IF = 1.0)

Starke, L., Hoppe, A. F., Sartori, A., Stefenon, S. F., et al. Interference recommendation for the pump sizing process in progressive cavity pumps using graph neural networks. Scientific Reports (Spring. Nature), vol. 13, no. 1, pp. 16884, 2023. Doi: 10.1038/s41598-023-43972-4 ↗. (JCR IF = 4.9)

Surek, G. A. S., Seman, L. O., Stefenon, S. F., Mariani, V. C., Coelho, L. S. Video-based human activity recognition using deep learning approaches. Sensors (MDPI), vol. 23, no. 14, p. 6384, 2023. Doi: 10.3390/s23146384 ↗. (JCR IF = 3.5)

Wilbert, H. J., Hoppe, A. F., Sartori, A., Stefenon, S. F., Silva, L. A. Recency, frequency, monetary value, clustering, and internal and external indices for customer segmentation from retail data. Algorithms (MDPI), vol. 16, no. 9, p. 396, 2023. Doi: 10.3390/a16090396 ↗. (JCR IF = 2.6)

Borré, A., Seman, L. O., Camponogara, E., Stefenon, S. F., Mariani, V. C., Coelho, L. S. Machine fault detection using a hybrid CNN-LSTM attention-based model. Sensors (MDPI), vol. 23, no. 9, p. 4512, 2023. Doi: 10.3390/s23094512 ↗. (JCR IF = 3.5)

Glasenapp, L. A., Hoppe, A. F., Wisintainer, M. A., Sartori, A. Stefenon, S. F. OCR applied for identification of vehicles with irregular documentation using IoT. Electronics (MDPI), vol. 12, no. 5, p. 1083, 2023. Doi: 10.3390/electronics12051083 ↗. (JCR IF = 2.6)

Stefenon, S. F., Seman, L. O., Sopelsa Neto, N. F., et al. Echo state network applied for classification of medium voltage insulators. International Journal of Electrical Power & Energy Systems (Elsevier), vol. 134, p. 107336, 2022. Doi: 10.1016/j.ijepes.2021.107336 ↗. (JCR IF = 5.3)

Stefenon, S. F., Ribeiro, M. H. D. M., Nied, A., Yow, K-C., Mariani, V. C., Coelho, L. S., et al. Time series forecasting using ensemble learning methods for emergency prevention in hydroelectric power plants with dam. Electric Power Systems Research (Elsevier), vol. 202, p. 107584, 2022. Doi: 10.1016/j.epsr.2021.107584 ↗. (JCR IF = 4.2)

Stefenon, S. F., Yow, K-C., Nied, A., Meyer, L.H. Classification of distribution power grid structures using inception v3 deep neural network. Electrical Engineering (Springer Nature), vol. 104, pp. 4557–4569, 2022. Doi: 10.1007/s00202-022-01641-1 ↗. (JCR IF = 2.7)

Stefenon, S. F., Singh, G., Yow, K-C., Cimatti, A. Semi-ProtoPNet deep neural network for the classification of defective power grid distribution structures. Sensors (MDPI), vol. 22, no. 13, p. 4859, 2022. Doi: 10.3390/s22134859 ↗. (JCR IF = 3.5)

Stefenon, S. F., Corso, M. P., Nied, A., Perez, F. L., Yow, K.-C., et al. Classification of insulators using neural network based on computer vision. IET Generation, Transmission & Distribution (Wiley), vol. 16, no. 6, pp. 1096-1107, 2022. Doi: 10.1049/gtd2.12353 ↗. (JCR IF = 2.6)

Stefenon, S. F., Bruns, R., Sartori, A., et al. Analysis of the ultrasonic signal in polymeric contaminated insulators through ensemble learning methods. IEEE Access (IEEE), vol. 10, pp. 33980-33991, 2022. Doi: 10.1109/ACCESS.2022.3161506 ↗. (JCR IF = 3.6)

Stefenon, S. F., Seman, L. O. Pavan, B. A., Ovejero, R. G., et al. Optimal design of electrical power distribution grid spacers using finite element method. IET Generation, Transmission & Distribution (Wiley), vol. 16, pp. 1865–1876, 2022. Doi: 10.1049/gtd2.12425 ↗. (JCR IF = 2.6)

Stefenon, S. F., Furtado Neto, C. S., Coelho, T. S., Nied, A., Yamaguchi, C. K., Yow, K-C. Particle swarm optimization for design of insulators of distribution power system based on finite element method. Electrical Engineering (Springer Nature), vol. 104, pp. 615–622, 2022. Doi: 10.1007/S00202-021-01332-3 ↗. (JCR IF = 2.7)

Sopelsa Neto, N.F., Stefenon, S. F., Meyer, L.H., Ovejero, R.G., et al. Fault prediction based on leakage current in contaminated insulators using enhanced time series forecasting models. Sensors (MDPI), vol. 22, no. 16, p. 6121, 2022. Doi: 10.3390/s22166121 ↗. (JCR IF = 3.5)

Fernandes, F., Stefenon, S. F., Seman, L. O., Nied, A., Ferreira, F. C. S., Subtil, M. C. M., Klaar, A. C. R., Leithardt, V. R. Q. Long short-term memory stacking model to predict the number of cases and deaths caused by COVID-19. Journal of Intelligent & Fuzzy Systems (IOS Press), vol. 42, no. 6, pp. 6221-6234, 2022. Doi: 10.3233/JIFS-212788 ↗. (JCR IF = 1.0)

Branco, N. W., Cavalca, M. S. M., Stefenon, S. F., Leithardt, V. R. Q. L. Wavelet LSTM for fault forecasting in electrical power grids. Sensors (MDPI), vol. 22, no. 21, p. 8323, 2022. Doi: 10.3390/s22218323 ↗. (JCR IF = 3.5)

Vieira, J. C., Sartori, A., Stefenon, S. F., Perez, F. L., Jesus, G. S. Low-cost CNN for automatic violence recognition on embedded system. IEEE Access (IEEE), vol. 10, pp. 25190-25202, 2022. Doi: 10.1109/ACCESS.2022.3155123 ↗. (JCR IF = 3.6)

Medeiros, A., Sartori, A., Stefenon, S. F., Meyer, L. H., Nied, A. Comparison of artificial intelligence techniques to failure prediction in contaminated insulators based on leakage current. Journal of Intelligent & Fuzzy Systems (IOS Press), vol. 42, no. 4, pp. 3285-3298, 2022. Doi: 10.3233/JIFS-211126 ↗. (JCR IF = 1.0)

Stefenon, S. F., Ribeiro, M. H. D. M., Nied, A., Mariani, V. C., Coelho, L. S., et al. et al. Hybrid wavelet stacking ensemble model for insulators contamination forecasting. IEEE Access (IEEE), vol. 9, pp. 66387-66397, 2021. Doi: 10.1109/ACCESS.2021.3076410 ↗. (JCR IF = 3.6)

Stefenon, S. F., Kasburg, C., Freire, R. Z., et al. Photovoltaic power forecasting using wavelet neuro-fuzzy for active solar trackers. Journal of Intelligent & Fuzzy Systems (IOS Press), vol. 40, no. 1, pp. 1083-1096, 2021. Doi: 10.3233/JIFS-201279 ↗. (JCR IF = 1.0)

Sopelsa Neto, N. F., Stefenon, S. F., Meyer, L. H., Bruns, R., Nied, A., Seman, L. O., et al. A study of multilayer perceptron networks applied to classification of ceramic insulators using ultrasound. Applied Sciences (MDPI), vol. 11, no. 4, p. 1592, 2021. Doi: 10.3390/app11041592 ↗. (JCR IF = 2.5)

Corso, M. P., Perez, F. L., Stefenon, S. F., Yow, K.-C., Ovejero, R. G., Leithardt, V. R. Q. Classification of contaminated insulators using k-nearest neighbors based on computer vision. Computers (MDPI), vol. 10, no. 9, p. 112, 2021. Doi: 10.3390/computers10090112 ↗. (JCR IF = 4.2)

Itajiba, J. A., Varnier, C. A. C., Cabral, S. H. L., Stefenon, S. F., et al. Experimental comparison of preferential vs. common delta connections for the star-delta starting of induction motors. Energies (MDPI), vol. 14, no. 5, p. 1318, 2021. Doi: 10.3390/en14051318 ↗. (JCR IF = 3.9)

Cabral, S. H., Bertoli, S. L., Medeiros, A., Hillesheim, C. R., Souza, C. K., Stefenon, S. F., et al. Practical aspects of the skin effect in low frequencies in rectangular conductors. IEEE Access (IEEE), vol. 9, pp. 49424-49433, 2021. Doi: 10.1109/ACCESS.2021.3069821 ↗. (JCR IF = 3.6)

Santos, G. H., Seman, L. O., Bezerra, E. A., Leithardt, V. R. Q., Mendes, A. S., Stefenon, S. F. Static attitude determination using convolutional neural networks. Sensors (MDPI), vol. 21, no. 19, p. 6419, 2021. Doi: 10.3390/s21196419 ↗. (JCR IF = 3.5)

Stefenon, S. F., Grebogi, R. B., et al. Optimized ensemble extreme learning machine for classification of electrical insulators conditions. IEEE Transactions on Industrial Electronics (IEEE), vol. 67, no. 6, pp. 5170-5178, 2020. Doi: 10.1109/TIE.2019.2926044 ↗. (JCR IF = 7.2)

Stefenon, S. F., Ribeiro, M. H. D. M., Nied, A., Mariani, V. C., Coelho, L. S., Rocha, D. F. M., et al. Wavelet group method of data handling for fault prediction in electrical power insulators. International Journal of Electrical Power & Energy Systems (Elsevier), vol. 123, p. 106269, 2020. Doi: 10.1016/j.ijepes.2020.106269 ↗. (JCR IF = 5.3)

Stefenon, S. F., Kasburg, C., Nied, A., Klaar, A. C. R., et al. Hybrid deep learning for power generation forecasting in active solar trackers. IET Generation, Transmission & Distribution (Wiley), vol. 14, no. 23, pp. 5667-5674, 2020. Doi: 10.1049/iet-gtd.2020.0814 ↗. (JCR IF = 2.6)

Stefenon, S. F., Freire, R. Z., Meyer, L. H, Corso, M. P., Sartori, A., Nied, A., et al. Fault detection in insulators based on ultrasonic signal processing using a hybrid deep learning technique. IET Science, Measurement and Technology (Wiley), vol. 14, no. 10, pp. 953-961, 2020. Doi: 10.1049/iet-smt.2020.0083 ↗. (JCR IF = 1.3)

Stefenon, S. F., Branco, N. W., Nied, A., Bertol, D. W., Finardi, E., Sartori, A., et al. Analysis of training techniques of ann for classification of insulators in electrical power systems. IET Generation, Transmission & Distribution (Wiley), vol. 14, no. 8, pp. 1591-1597, 2020. Doi: 10.1049/iet-gtd.2019.1579 ↗. (JCR IF = 2.6)

Stefenon, S. F., Seman, L. O., Furtado Neto, C. S., Nied, A., Seganfredo, D. M., Luz, F. G., et al. Electric field evaluation using the finite element method and proxy models for the design of stator slots in a permanent magnet synchronous motor. Electronics (MDPI), vol. 9, no. 11, p. 1975, 2020. Doi: 10.3390/electronics9111975 ↗. (JCR IF = 2.6)

Stefenon, S. F., Freire, R. Z., Coelho, L. S., Meyer, L. H., Grebogi, G., Buratto, W. G., et al. Electrical insulator fault forecasting based on a wavelet neuro-fuzzy system. Energies (MDPI), vol. 13, no. 2, p. 484, 2020. Doi: 10.3390/en13020484 ↗. (JCR IF = 3.9)

Muniz, R. N., Stefenon, S. F., Buratto, W. G., Nied, A., Meyer, L. H., Finardi, E., et al. Tools for measuring energy sustainability: a comparative review. Energies (MDPI), vol. 13, no. 9, p. 2366, 2020. Doi: 10.3390/en13092366 ↗. (JCR IF = 3.9)

Ribeiro, M. H. D. M., Stefenon, S. F., Lima, J. D., Nied, A., Mariani, V. C. et al. Electricity price forecasting based on self-adaptive decomposition and heterogeneous ensemble learning. Energies (MDPI), vol. 13, no. 19, p. 5190, 2020. Doi: 10.3390/en13195190 ↗. (JCR IF = 3.9)

Stefenon, S. F., Nied, A. FEM applied to evaluation of the influence of electric field on design of the stator slots in PMSM. IEEE Latin America Transactions (IEEE), vol. 17, no. 04, pp. 590-596, 2019. Doi: 10.1109/TLA.2019.8891883 ↗. (JCR IF = 1.3)

Stefenon, S. F., Silva, M. C., Bertol, D. W., Meyer, L. H., Nied, A. Fault diagnosis of insulators from ultrasound detection using neural networks. Journal of Intelligent & Fuzzy Systems (IOS Press), vol. 37, no. 5, pp. 6655-6664, 2019. Doi: 10.3233/JIFS-190013 ↗. (JCR IF = 1.0)

Kasburg, C., Stefenon, S. F. Deep learning for photovoltaic generation forecast in active solar trackers. IEEE Latin America Transactions (IEEE), vol. 17, no. 12, pp. 2013-2019, 2019. Doi: 10.1109/TLA. 2019.9011546 ↗. (JCR IF = 1.3)

Stefenon, S. F., Américo, J. P., Meyer, L. H., Grebogi, R., Nied, A. Analysis of the electric field in porcelain pin-type insulators via finite elements software. IEEE Latin America Transactions (IEEE), vol. 16, no. 10, 2505-2512, 2018. Doi: 10.1109/TLA.2018.8795129 ↗. (JCR IF = 1.3)

Corso, M. P., Stefenon, S. F., Couto, V. F., Cabral, S. H. L., Nied, A. Evaluation of methods for electric field calculation in transmission lines. IEEE Latin America Transactions (IEEE), vol. 16, no. 12, pp. 2970-2976, 2018. Doi: 10.1109/TLA.2018.8804264 ↗. (JCR IF = 1.3)

Silva, A. A., Gonzalez, G. V., Stefenon, S. F., Ribeiro, M. H. D. M. Optimized cluster-wise deep learning framework for multi-horizon solar radiation forecasting. In: International Conference on AI and Emerging Technology for Sustainable Future, vol. 2. IEEE: Catania, Italy, pp. 1-5, 2026.

Bortolini, V., Silva, A. A., Gonzalez, G. V., Stefenon, S. F., Ribeiro, M. H. D. M. Multi-horizon wind speed forecasting using VMD-PSO and deep learning models. In: International Conference on AI and Emerging Technology for Sustainable Future, vol. 2. IEEE: Catania, Italy, pp. 1-5, 2026

Stefenon, S. F., Matos-Carvalho, J. P., Seman, L. O., Leithardt, V. R., Yow, K. C. Optimized Gaussian large language model (LLM) reprogrammed for temporal predictions. In: International Conference on Intelligent Environments, vol. 22. IEEE: Lisbon, Portugal, pp. 1-8, 2026. Doi: 10.1109/IE69249.2026.11539046 ↗.

Carvalho, J. P. M., Stefenon, S. F., Yow, K. C., Ovejero, R. G., Leithardt, V. R. Q. N-BEATS neural network applied for insulator fault prediction considering EMD methods. In: International Conference on Electrical, Computer, Communications and Mechatronics Engineering. vol. 5. IEEE: Zanzibar, Tanzania, pp. 1-6, 2025. Doi: 10.1109/ICECCME64568.2025.11277686 ↗.

Yamaguchi, C. K., Stefenon, S. F., Santana, J. F. P. S., Leithardt, V. R. Q. Are Graph Neural Networks Better than Standard Classifiers?. In: International Conference on Disruptive Technologies, Tech Ethics and Artificial Intelligence. vol. 1465. Springer: Salamanca, Spain, pp. 36-47, 2025. Doi: 10.1007/978-3-031-99474-6_4 ↗.

Stefenon, S. F., Cristoforetti, M., Cimatti, A. Towards automatic digitalization of railway engineering schematics. In: AIxIA 2023 – Advances in Artificial Intelligence. vol. 14318. Springer: Roma, Italy, pp. 453–466, 2023. Doi: 10.1007/978-3-031-47546-7 31 ↗.

Stefenon, S. F. Emergency prevention in hydroelectric plants using ensemble models. Workshop Nazionale per il Trasferimento Tecnologico e l’Alta Formazione. Università degli Studi di Verona: Verona, Italy, p. 1, 2022.

Kasburg, C., Stefenon, S. F. Evaluation of the efficiency of photovoltaic power plants using dual-axis solar tracker. II EDUPALA - International Congress on Pertinent Knowledge for Education in Latin America. UNIPLAC: Lages, Brazil, p. 1267, 2018.

Kasburg, C., Stefenon, S. F. Evaluation of the efficiency of photovoltaic power plants using dual-axis solar tracker. II EDUPALA - International Congress on Pertinent Knowledge for Education in Latin America. UNIPLAC: Lages, Brazil, p. 1267, 2018.

Americo, J. P., Stefenon, S. F., Lima, J. D. Meta-analysis and systematic mapping of the application of multicriteria decision-making techniques in the energy sector. VIII Brazilian Congress of Production Engineering. ConBRepro: Ponta Grossa, Brazil, pp. 1-11, 2018.

Branco, E. O., Yamaguchi, C. K., Stefenon, S. F. Relation of assistive technology and independence in the support system for the visually impaired. II EDUPALA - International Congress on Pertinent Knowledge for Education in Latin America. UNIPLAC: Lages, Brazil, p. 1276, 2018.

Americo, J. P., Stefenon, S. F. Practical classes in the electricity laboratory. EDUNIPLAC, Lages, Brazil, p. 93, 2019. ISBN: 978-85-89237-27-7.

Americo, J. P., Cabral, S. H. L., Stefenon, S. F., Study of Partial Discharge Measurement in Power Transformers. Lambert Academic Publishing, Saarbrucken, Germany, p. 101, 2017. ISBN: 978-3-330-33094-8.

Ciocari, E., Stefenon, S. F., Leite, J. A. N. Challenges in the operation of hydroelectric plants in the Uruguay river basin. Alternativa, Rio de Janeiro, Brazil, p. 70, 2016. ISBN: 978-8-563-74952-9.

Stefenon, S. F., Meyer, L. H. Inspection of electrical distribution network. Lambert Academic Publishing, Saarbrucken, Germany, p. 80, 2015. ISBN: 978-3-659-81204-0.