Intelligent monitoring of photovoltaic panels based on infrared detection-Reference-Cited by-同舟云学术

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Intelligent monitoring of photovoltaic panels based on infrared detection

Published:2022-11 Issue: Volume:8 Page:5005-5015
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Wang Xing,Yang Wenxian^ORCID,Qin Bo,Wei Kexiang^ORCID,Ma Yunyu^ORCID,Zhang Daibing

Publisher

Elsevier BV

Subject

General Energy

Reference37 articles.

1. CNN based automatic detection of photovoltaic cell defects in electroluminescence images;Akram;Energy,2019

2. Automatic detection of photovoltaic module defects in infrared images with isolated and develop-model transfer deep learning;Akram;Sol. Energy,2020

3. A machine learning framework to identify the hotspot in photovoltaic module using infrared thermography;Ali;Sol. Energy,2020

4. Experimental investigation of observed defects in crystalline silicon PV modules under outdoor hot dry climatic conditions in Algeria;Bouraiou;Sol. Energy,2018

5. Monitoring, diagnosis, and power forecasting for photovoltaic fields: A review;Daliento;Int. J. Photoenergy,2017

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1. PVF-10: A high-resolution unmanned aerial vehicle thermal infrared image dataset for fine-grained photovoltaic fault classification;Applied Energy;2024-12

2. CNN-based automatic detection of photovoltaic solar module anomalies in infrared images: a comparative study;Neural Computing and Applications;2024-08-11

3. Multidimensional Evaluation Method for the Operational Status of Photovoltaic Arrays in Large-Scale PV Power Stations;IEEE Journal of Photovoltaics;2024-07

4. Machine Learning Based Damage Detection in Photovoltaic Arrays Using UAV-Acquired Infrared and Visual Imagery;2024 International Conference on Unmanned Aircraft Systems (ICUAS);2024-06-04

5. Module defect detection and diagnosis for intelligent maintenance of solar photovoltaic plants: Techniques, systems and perspectives;Energy;2024-06

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