Researchers from Forschungszentrum Jülich and RWTH Aachen University in Germany have developed an open-source workflow for rooftop PV potential assessments from satellite imagery. The new ...

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Workflow for Real-Time Sludge Moisture Content Prediction Using Deep Learning. This figure illustrates the workflow for predicting sludge moisture content using deep learning. The process begins with ...

An international research team has developed a novel PV fault detection method based on deep learning of aerial images. The proposed methodology utilizes the convolutional neural network (CNN) ...

Extracting valuable information from large sets of diverse meteorological data is a time-intensive process. Machine-learning methods can help to improve both speed and accuracy of this process.