A Framework for Fault Recognition of Photovoltaic Plants with Convolutional Neural Network
Author:
Affiliation:
1. Marri Laxman Reddy Institute of Technology and Management,Department of CSE,Hyderabad,500043
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10265860/10265772/10266255.pdf?arnumber=10266255
Reference18 articles.
1. DEEP CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC DETECTION OF DAMAGED PHOTOVOLTAIC CELLS
2. Automatic Boundary Extraction for Photovoltaic Plants Using the Deep Learning U-Net Model
3. Implementation of a fixed-point 2D Gaussian Filter for Image Processing based on FPGA
4. Deep learning strategies for automatic fault diagnosis in photovoltaic systems by thermographic images
5. Automatic Boundary Extraction of Large-Scale Photovoltaic Plants Using a Fully Convolutional Network on Aerial Imagery
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