A hybrid machine learning and ied-based fault detection scheme for microgrids
Microgrids face significant challenges in fault detection due to the integration of distributed energy resources (DERs), dynamic operational conditions, and diverse fault scenarios. Existing methods often struggle to achieve accurate and timely fault identification, necessitating the development of...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025014392 |
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