A High-Precision Defect Detection Approach Based on BiFDRep-YOLOv8n for Small Target Defects in Photovoltaic Modules
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- Zhang, Jinlai & Yang, Wenjie & Chen, Yumei & Ding, Mingkang & Huang, Huiling & Wang, Bingkun & Gao, Kai & Chen, Shuhan & Du, Ronghua, 2024. "Fast object detection of anomaly photovoltaic (PV) cells using deep neural networks," Applied Energy, Elsevier, vol. 372(C).
- Zhang, Ning & Yu, Yanghao & Wu, Jiawei & Du, Ershun & Zhang, Shuming & Xiao, Jinyu, 2024. "Optimal configuration of concentrating solar power generation in power system with high share of renewable energy resources," Renewable Energy, Elsevier, vol. 220(C).
- Waqar Akram, M. & Li, Guiqiang & Jin, Yi & Chen, Xiao, 2022. "Failures of Photovoltaic modules and their Detection: A Review," Applied Energy, Elsevier, vol. 313(C).
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Keywords
photovoltaic power plant; defect detection; YOLOv8n; RepViT; BiFPN; DyHead-DCNv3;All these keywords.
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