Lightning damage assessment on solar panels using in-house portable infrared thermography camera with Convolutional Neural Network (CNN) algorithm
As the demand for renewable energy sources increases, the vulnerability of solar panels to lightning strikes becomes a critical concern. This research explores the correlation between lightning-induced voltage fluctuations and the resultant damage intensity on solar panels. The study adopts a system...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
Taylor and Francis
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/116338/ https://www.tandfonline.com/doi/full/10.1080/10589759.2024.2410386 |
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