Analysis of Photovoltaic Cell Defect Classification Using Residual Neural Network
The photovoltaic (PV) system has seen significant advancements in recent years. Accurate defect classification is essential for maximizing the energy output of PV cells throughout their lifespan. With the rapid progress in deep learning and convolutional neural networks (CNN), PV images can now be l...
| Published in: | 2024 IEEE 22nd Student Conference on Research and Development, SCOReD 2024 |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85219521304&doi=10.1109%2fSCOReD64708.2024.10872644&partnerID=40&md5=3d0a0ea6ce466a1417be5682ffe1b58a |