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

Author:

Sun Fuhao1,Yang Cheng1,Cui Haoyang1,Lv Zhipeng2,Shao Jie1,Zhao Bochao3,He Ke1

Affiliation:

1. Shanghai University of Electric Power,Shanghai,China

2. Energy Internet Research Institute Co., Ltd State Grid Corporation of China,Shanghai,China

3. Tianjin University,Tianjin,China

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. CASolarNet: Channel Attention EfficientNet-based Model for Solar Panel Dust Detection;2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA);2024-08-06

2. Image Processing-Based Dust Detection for Solar Panels;2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC);2024-06-28

3. A Survey of Photovoltaic Panel Overlay and Fault Detection Methods;Energies;2024-02-09

4. Staged Coal Leakage Detection Method Based on Improved Networks;2024 4th International Conference on Consumer Electronics and Computer Engineering (ICCECE);2024-01-12

5. Improving Solar Power Generation with InceptionV3 Dust Detection on the Solar Panel Energy Systems;2023 Third International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS);2023-09-01

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