Anomaly detection using K-Means and long-short term memory for predictive maintenance of large-scale solar (LSS) photovoltaic plant
Detecting and monitoring faults in solar photovoltaic (PV) systems is crucial to ensure optimal efficiency and prevent safety and fire hazards. However, the conventional operation and maintenance (O&M) of solar PV systems do not utilize machine learning for fault detection and classification. Th...
| Published in: | ENERGY REPORTS |
|---|---|
| Main Authors: | , , , , |
| Format: | Article; Proceedings Paper |
| Language: | English |
| Published: |
ELSEVIER
2023
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| Subjects: | |
| Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001131640100030 |