Automatic Fault Classification in Photovoltaic Modules Using Denoising Diffusion Probabilistic Model, Generative Adversarial Networks, and Convolutional Neural Networks

Automatic Fault Classification in Photovoltaic Modules Using Denoising Diffusion Probabilistic Model, Generative Adversarial Networks, and Convolutional Neural Networks

Current techniques for fault analysis in photovoltaic (PV) systems plants involve either electrical performance measurements or image processing, as well as line infrared thermography for visual inspection. Deep convolutional neural networks (CNNs) are machine learning algorithms that perform tasks...

Full description

Saved in:
Bibliographic Details
Main Authors: Carlos Roberto da Silveira Junior, Carlos Eduardo Rocha Sousa, Ricardo Henrique Fonseca Alves
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Energies
Subjects:
solar energy
denoising diffusion probabilistic model
generative adversarial network and data augmentation
Online Access:https://www.mdpi.com/1996-1073/18/4/776
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items