Deep learning tech detects snow coverage on PV systems, calculates energy loss

Conceived by researchers in Canada, the novel method combines image processing and deep learning techniques to locate the areas of the solar panels covered with snow. It reportedly performed better than three other popular image processing-based segmentation methods. Researchers from Canada's University of Waterloo have developed a novel automated model for real-time snow cover detection on PV panels and energy loss estimation. The model is based on image processing and deep learning, using a convolutional neural network (CNN) and a timelapse set of images to identify the snow-covered area compared ...

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