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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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8162588/ https://www.ncbi.nlm.nih.gov/pubmed/34048442 http://dx.doi.org/10.1371/journal.pone.0252104 |