A novel detection method for hot spots of photovoltaic (PV) panels using improved anchors and prediction heads of YOLOv5 network-Reference-Cited by-同舟云学术

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A novel detection method for hot spots of photovoltaic (PV) panels using improved anchors and prediction heads of YOLOv5 network

Published:2022-11 Issue: Volume:8 Page:1219-1229
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Sun Tianyi,Xing Huishuang,Cao Shengxian,Zhang Yanhui,Fan Siyuan,Liu Peng

Funder

Jilin Scientific and Technological Development Program

Science and Technology Project of State Grid

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

General Energy

Reference19 articles.

1. A dynamic analysis of research and development incentive on China’s photovoltaic industry based on system dynamics model;Xin-gang;Energy,2021

2. Driving force model to evaluate China’s photovoltaic industry: Historical and future trends;Luo;J Clean Prod,2021

3. Thermal impact on the performance ratio of photovoltaic systems: A case study of 8000 photovoltaic installations;Dhimish;Case Stud Therm Eng,2020

4. Hot-spot generation model using electrical and thermal equivalent circuits for a copper indium gallium selenide photovoltaic module;Kim;Sol Energy,2021

5. Defining the best-fit machine learning classifier to early diagnose photovoltaic solar cells hot-spots;Dhimish;Case Stud Therm Eng,2021

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4. Güneş Enerjisi Santrallerinde YOLO Algoritmaları ile Hotspot Kusurlarının Tespiti;Fırat Üniversitesi Mühendislik Bilimleri Dergisi;2024-03-28

5. Review of Deep Learning-Based Hotspot Detection in Solar Photovoltaic Arrays;2024 IEEE 4th International Conference in Power Engineering Applications (ICPEA);2024-03-04

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