IoT-Based PV Array Fault Detection and Classification Using Embedded Supervised Learning Methods

IoT-Based PV Array Fault Detection and Classification Using Embedded Supervised Learning Methods

Faults on individual modules within a photovoltaic (PV) array can have a significant detrimental effect on the power efficiency and reliability of the entire PV system. In addition, PV module faults can create risks to personnel safety and fire hazards if they are not detected quickly. As IoT hardwa...

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Bibliographic Details
Main Authors: Mojgan Hojabri, Samuel Kellerhals, Govinda Upadhyay, Benjamin Bowler
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Energies
Subjects:
photovoltaic system
PV faults
edge computing
machine learning
IOT
fault detection techniques
Online Access:https://www.mdpi.com/1996-1073/15/6/2097

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https://www.mdpi.com/1996-1073/15/6/2097

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