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Localizador de faltas utilizando medição em regime permanente e redes neurais artificiais
(2022-10-14)
The distribution system grows continuously thus increasing the probability of the emergence of faults in its lines. In order to solve this problem was developed a program that can, through the RMS values of the electrical ...
Diagnóstico de conversores CA-CC-CA através da aplicação de redes neurais convolucionais
(2024-02-29)
Due to the need to reduce emissions of polluting gases and the search
for more sustainable means of energy production, wind energy has been one
of the fastest-growing renewable sources in the world. However, operation
and ...
Aplicação de rede neural MLP na identificação de falhas em motores de indução trifásicos utilizando base de dados gerada por modelo computacional
(2024-02-29)
This study addresses the application of Multilayer Perceptron (MLP) Neural Networks in identifying faults in three-phase induction motors. Using a database generated by a computational model, the neural network's performance ...
Previsão de curto prazo da demanda de energia elétrica no nordeste brasileiro utilizando séries temporais
(2024-09-19)
Aiming for efficient and sustainable management of electrical systems, it is essential to forecast energy demand, especially due to the increasing integration of renewable sources and climate change. Accordingly, this study ...



