Prediction of Stress in Power Transformer Winding Conductors Using Artificial Neural Networks: Hyperparameter Analysis
The purpose of this research is the evaluation of artificial neural network models in the prediction of stresses in a 400 MVA power transformer winding conductor caused by the circulation of fault currents. The models were compared considering the training, validation, and test data errors’ behavior...
Main Authors: | Fausto Valencia, Hugo Arcos, Franklin Quilumba |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
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Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/14/14/4242 |
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