Dust deposition on the photovoltaic panel: A comprehensive survey on mechanisms, effects, mathematical modeling, cleaning methods, and monitoring systems

L Wan, L Zhao, W Xu, F Guo, X Jiang - Solar Energy, 2024 - Elsevier
Photovoltaic (PV) power generation has become one of the key technologies to reach
energy-saving and carbon reduction targets. However, dust accumulation will significantly …

A novel comparison of image semantic segmentation techniques for detecting dust in photovoltaic panels using machine learning and deep learning

T Cruz-Rojas, JA Franco, Q Hernandez-Escobedo… - Renewable Energy, 2023 - Elsevier
The reduction in photovoltaic (PV) panel efficiency is a significant concern, especially for the
photovoltaic power stations (PPS) near different soil types and a high wind presence. A …

[HTML][HTML] LeafNet: A proficient convolutional neural network for detecting seven prominent mango leaf diseases

RA Rizvee, TH Orpa, A Ahnaf, MA Kabir… - Journal of Agriculture …, 2023 - Elsevier
Fruit production plays a significant role in meeting nutritional needs and contributing to the
lessening of the global food crisis. Plant diseases are quite a common phenomenon that …

An exploratory framework to identify dust on photovoltaic panels in offshore floating solar power stations

Y Cui, M Liu, W Li, J Lian, Y Yao, X Gao, L Yu, T Wang… - Energy, 2024 - Elsevier
Offshore floating solar power stations represent a new frontier in energy development.
These stations maximize solar energy use, reduce land consumption and promote algae …

Improved Solar Panel Efficiency through Dust Detection Using the InceptionV3 Transfer Learning Model

NNI Prova - 2024 8th International Conference on I-SMAC (IoT …, 2024 - ieeexplore.ieee.org
There is an expanding sector for renewable energy due to raised awareness of carbon
footprints, highlighting the necessity of sustainable and eco-friendly energy sources …

Multi-view VR imaging for enhanced analysis of dust accumulation on solar panels

A Oulefki, T Trongtirakul, S Agaian, S Benbelkacem… - Solar Energy, 2024 - Elsevier
The efficiency of solar photovoltaic (PV) systems, crucial for global energy security, needs to
be improved by dust accumulation. To address this challenge, this study introduces a novel …

Dust Detection Techniques for Photovoltaic Panels from a Machine Vision Perspective: A Review

F Sun, C Yang, H Cui, Z Lv, J Shao… - 2023 8th Asia …, 2023 - ieeexplore.ieee.org
This paper provides an extensive review of dust detection techniques for photovoltaic
panels. The review is conducted from two main perspectives. Firstly, the paper examines the …

[HTML][HTML] Enhanced fault detection in photovoltaic panels using cnn-based classification with pyqt5 implementation

Y Ledmaoui, A El Maghraoui, M El Aroussi, R Saadane - Sensors, 2024 - mdpi.com
Solar photovoltaic systems have increasingly become essential for harvesting renewable
energy. However, as these systems grow in prevalence, the issue of the end of life of …

Evaluation of effect of pre-processing techniques in solar panel fault detection

SP Pathak, SA Patil - IEEE Access, 2023 - ieeexplore.ieee.org
Solar energy is a clean and renewable source of energy produced by solar panels. Solar
panels deteriorate over time, resulting in generation of faults. Faults reduce the overall …

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) …