Denoising outdoor electroluminescence images of PV panels through deep learning

Researchers in Australia have developed a simplified residual network-based architecture method to filter out noise from electroluminescence images of PV modules. The proposed technique reportedly enhance the accuracy and efficiency of automated inspection systems for utility-scale PV plants. A group of scientists led by researchers from the University of New South Wales (UNSW) in Australia has developed a novel deep-learning method for denoising outdoor electroluminescence (EL) images of PV modules. Dubbed SimpleResNet, the novel method is based on a simplified residual network (ResNet)-based ...

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