Work

A Hybrid Deep-Machine Learning Approach to Diagnose Partial Shading and Short-Circuit Faults in Solar Photovoltaic Systems using Infrared Thermography Images

Year: 2025

Type: conference-paper

Source: International Conference on Applied Automation and Industrial Diagnostics (ICAAID)

DOI: 10.1109/icaaid68975.2025.11358020

Authors: Derradji Bakria, Ahmed Chennana, Ahmed Chaouki Megherbi, Noureddine Bessous, Ali Teta, Mohammed El Amine Mihoubi, El Ouanas Belabbaci, Belkacem Korich, Ridha Djamel Mohammedi, Ahmed Hafaifa

Institutions: Ziane Achour University of Djelfa, University of Biskra, University of Eloued, University of Béjaïa

Language: English

Topic: Photovoltaic System Optimization Techniques

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W7127108667

FWCI:

Cites: 27

Cited by:

Related to: 10