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...

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Bibliographic Details
Published in:	ENERGY REPORTS
Main Authors:	Zulfauzi, Irfan Adam; Dahlan, Nofri Yenita; Sintuya, Hathaithip; Setthapun, Worajit
Format:	Article; Proceedings Paper
Language:	English
Published:	ELSEVIER 2023
Subjects:	Energy & Fuels
Online Access:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001131640100030

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