Predictive maintenance based on anomaly detection in photovoltaic system using SCADA data and machine learning

Predictive maintenance based on anomaly detection in photovoltaic system using SCADA data and machine learning

Efforts to reduce the increase in average global warming by utilizing renewable energy continue to increase. One of the efforts is to build a solar power plant that is able to generate electricity by converting solar energy into electricity through a photovoltaic (PV) system. The existence of abunda...

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Bibliographic Details
Main Authors: Agussalim Syamsuddin, Andrew Cahyo Adhi, Amie Kusumawardhani, Toni Prahasto, Achmad Widodo
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Results in Engineering
Subjects:
Photovoltaic
Predictive maintenance
Anomaly detection
Fault diagnosis
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024018322
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