An effective evaluation on fault detection in solar panels

JA Dhanraj, A Mostafaeipour, K Velmurugan… - Energies, 2021 - mdpi.com
The world's energy consumption is outpacing supply due to population growth and
technological advancements. For future energy demands, it is critical to progress toward a …

A stacking ensemble classifier-based machine learning model for classifying pollution sources on photovoltaic panels

PW Khan, YC Byun, OR Jeong - Scientific Reports, 2023 - nature.com
Solar energy is a very efficient alternative for generating clean electric energy. However,
pollution on the surface of solar panels reduces solar radiation, increases surface …

Intelligent cleanup scheme for soiled photovoltaic modules

HPC Hwang, CCY Ku, MCY Huang - Energy, 2023 - Elsevier
In recent years, solar energy systems have increased significantly worldwide. However, over
time, the efficiency of photovoltaic (PV) systems is always affected primarily by soiling …

PV Module Soiling Detection Using Visible Spectrum Imaging and Machine Learning.

BI Evstatiev, DT Trifonov… - Energies …, 2024 - search.ebscohost.com
During the last decades photovoltaic solar energy has continuously increased its share in
the electricity mix and has already surpassed 5% globally. Even though photovoltaic (PV) …

Infrared Computer Vision for Utility-Scale Photovoltaic Array Inspection

DF Ramirez, D Pujara… - … & Applications (IISA), 2024 - ieeexplore.ieee.org
Utility-scale solar arrays require specialized inspection methods for detecting faulty panels.
Photovoltaic (PV) panel faults caused by weather, ground leakage, circuit issues …

Proactive Fault Detection using Machine Learning to Aid Predictive Maintenance in Photovoltaic Systems

S Kayamboo - 2024 - acquire.cqu.edu.au
In recent history, photovoltaic (PV) systems as a means of energy generation have risen in
popularity due to the world's decreasing reliance on fossil fuels and a stronger focus on …