PV module fault detection technique based on convolutional neural network

An international research team has used the convolutional neural network (CNN) deep learning algorithm to identify faults in solar panels. Its work showed the proposed technique has a high degree of accuracy, especially if combined with transfer learning models. A group of researchers led by the University of Sharjah in the UAE proposed to use the convolutional neural network (CNN) technique to detect temperature and shading-induced faults in PV modules. CNN is a deep learning algorithm that enables extracting and learning features from visual data. "CNN extracts feature maps from data sets using ...

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