Hotspot Detection of Solar Photovoltaic System: A Perspective from Image Processing-Reference-Cited by-同舟云学术

Hotspot Detection of Solar Photovoltaic System: A Perspective from Image Processing

Published:2023-03-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)
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Author:

Binti Ishak Nurul Huda¹,Sazanita Binti Isa Iza¹,Bin Osman Muhammad Khusairi¹,Daud Kamarulazhar¹,Bin Jadin Mohd Shawal²

Affiliation:

1. Universiti Teknologi MARA,Centre for Electrical Engineering Studies,Pulau Pinang,Permatang Pauh,Malaysia,13500

2. Universiti Malaysia Pahang,Faculty of Electrical and Electronics Engineering Technology,Pahang,Pekan,Malaysia,26600

Funder

Universiti Teknologi MARA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10093144/10093145/10093148.pdf?arnumber=10093148

Reference23 articles.

1. Infrared thermography based defect analysis of photovoltaic modules using machine learning;mobin;Department of Electrical and Electronic Engineering,2020

2. A Review of Infrared Thermography for Condition-Based Monitoring in Electrical Energy: Applications and Recommendations

3. A Method for Estimating On-Field Photovoltaics System Efficiency Using Thermal Imaging and Weather Instrument Data and an Unmanned Aerial Vehicle

4. Hotspots Detection in Photovoltaic Modules Using Infrared Thermography

5. A review on image processing techniques for damage detection on photovoltaic panel;afifah;ICIC International,2021

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3. A fuzzy classification method based on rules learning for shaded and unshaded hotspot faults on photovoltaic modules;Journal of Cleaner Production;2024-04