Exploring insights on deep learning-based photovoltaic fault detection for monofacial and bifacial modules using thermography
Routine maintenance of photovoltaic (PV) power plants is critical to mitigate module faults, which can result from environmental factors, reducing power output and accelerating module degradation. To effectively detect faults across the entire PV module array, aerial infrared thermography (AIRT) is...
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| Huvudupphov: | , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
KeAi Communications Co., Ltd.
2025-12-01
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| Serie: | International Journal of Cognitive Computing in Engineering |
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| Länkar: | http://www.sciencedirect.com/science/article/pii/S266630742500021X |
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