Signal-piloted processing and machine learning based efficient power quality disturbances recognition.

Significant losses can occur for various smart grid stake holders due to the Power Quality Disturbances (PQDs). Therefore, it is necessary to correctly recognize and timely mitigate the PQDs. In this context, an emerging trend is the development of machine learning assisted PQDs management. Based on...

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Autor principal: Saeed Mian Qaisar
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/7036da8f36594d67a5dbe17e9ed074b1
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