Anomaly detection using K-Means and long-short term memory for predictive maintenance of large-scale solar (LSS) photovoltaic plant

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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...

書誌詳細
出版年:	Energy Reports
第一著者:	2-s2.0-85173448238
フォーマット:	論文
言語:	English
出版事項:	Elsevier Ltd 2023
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173448238&doi=10.1016%2fj.egyr.2023.09.159&partnerID=40&md5=a0500fdfd9ea2b1f3fcc66538565b973

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