Researchers from China's Shandong University have developed a novel method for fault diagnosis in PV arrays, using feature engineering and one-dimensional convolutional neural networks (1D-CNN).

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 ...

A team of scientists at Georgia Southern University has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a ...

A project run by Eaton and NREL has developed a tool that can detect powerline faults otherwise difficult to detect, enabling ...