Photovoltaic Cell Defect Detection Based on Weakly Supervised Learning With Module-Level Annotations
IEEE AccessRecently, convolutional neural networks (CNNs) have proven successful in automating the detection of defective photovoltaic (PV) cells within PV modules.
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Performance analysis of partially shaded high-efficiency mono PERC/mono crystalline PV module under indoor and environmental conditions. [PDF]
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Design methodology for a photovoltaic emulator based on power hardware-in-the-loop with Opal-RT simulator. [PDF]
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Recycling of End-of-Life Crystalline Silicon Photovoltaic Modules: A Comprehensive Review of Technologies, Challenges, and Prospects. [PDF]
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