Convolutional Neural Network for Dust and Hotspot Classification in PV Modules

Convolutional Neural Network for Dust and Hotspot Classification in PV Modules

This paper proposes an innovative approach to classify the losses related to photovoltaic (PV) systems, through the use of thermographic non-destructive tests (TNDTs) supported by artificial intelligence techniques. Low electricity production in PV systems can be caused by an efficiency decrease in...

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Bibliographic Details
Main Authors: Giovanni Cipriani, Antonino D’Amico, Stefania Guarino, Donatella Manno, Marzia Traverso, Vincenzo Di Dio
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Energies
Subjects:
infrared thermography
diagnostics
renewable energy
photovoltaic energy
energy efficient
artificial intelligence
Online Access:https://www.mdpi.com/1996-1073/13/23/6357

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https://www.mdpi.com/1996-1073/13/23/6357

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