This study aims to use the convolutional neural network (CNN) to build a new model for detecting the faults of solar PV module performance under the temperature and shading effects. Two sets of data were used based on solar data from Mendeley. and experimental data from the University of Sharjah. The transfer learning model was also used in this study. https://balboasurfandsstylers.shop/product-category/watches/
Detecting the faults of solar photovoltaic module due to the temperature and shading effect by convolutional neural network
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