Remote anomaly detection and classification of solar photovoltaic modules based on deep neural network
Solar photovoltaic systems are being widely used in green energy harvesting recently. At the same rate of growth, the modules that come to the end of life are growing fast. The solar modules contain heavy metals such as lead, tin, and cadmium, which could pollute the environment. Inspection and main...
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| Main Authors: | , , , , , |
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| Format: | Bài trích |
| Language: | English |
| Published: |
Sustainable Energy Technologies and Assessments
2021
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| Subjects: | |
| Online Access: | https://www.sciencedirect.com/science/article/abs/pii/S2213138821005579?via%3Dihub https://dlib.phenikaa-uni.edu.vn/handle/PNK/3298 https://doi.org/10.1016/j.seta.2021.101545 |
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