Mateus, B.C.; Mendes, M.; Farinha, J.T.; Martins, A.
Hybrid Deep Learning for Predictive Maintenance: LSTM, GRU, CNN, and Dense Models Applied to Transformer Failure Forecasting. Energies 2025, 18, 5634.
https://doi.org/10.3390/en18215634
AMA Style
Mateus BC, Mendes M, Farinha JT, Martins A.
Hybrid Deep Learning for Predictive Maintenance: LSTM, GRU, CNN, and Dense Models Applied to Transformer Failure Forecasting. Energies. 2025; 18(21):5634.
https://doi.org/10.3390/en18215634
Chicago/Turabian Style
Mateus, BalduÃno César, Mateus Mendes, José Torres Farinha, and Alexandre Martins.
2025. "Hybrid Deep Learning for Predictive Maintenance: LSTM, GRU, CNN, and Dense Models Applied to Transformer Failure Forecasting" Energies 18, no. 21: 5634.
https://doi.org/10.3390/en18215634
APA Style
Mateus, B. C., Mendes, M., Farinha, J. T., & Martins, A.
(2025). Hybrid Deep Learning for Predictive Maintenance: LSTM, GRU, CNN, and Dense Models Applied to Transformer Failure Forecasting. Energies, 18(21), 5634.
https://doi.org/10.3390/en18215634