Bayesian Deep Neural Network to Compensate for Current Transformer Saturation

Current transformer saturation has a negative effect on the operation of IEDs, resulting in their malfunction. Here, we present a technique to compensate for saturated waveforms using Bayesian Deep Neural Network (BDNN) comprising Deep Neural Network (DNN) and Bayesian optimization (BO). DNN, that u...

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Auteurs principaux: Sopheap Key, Sang-Hee Kang, Nam-Ho Lee, Soon-Ryul Nam
Format: article
Langue:EN
Publié: IEEE 2021
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Accès en ligne:https://doaj.org/article/4147964eba1148ce94d3571bf1d32501
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