Auflistung Fakultät für Mathematik und Physik nach Schlagwort "all-sky image"

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Convolutional Neural Network for High-Resolution Cloud Motion Prediction from Hemispheric Sky Images

Crisosto, Cristian; Luiz, Eduardo W.; Seckmeyer, Gunther (Basel : MDPI, 2021)

A novel high-resolution method for forecasting cloud motion from all-sky images using deep learning is presented. A convolutional neural network (CNN) was created and trained with more than two years of all-sky images, ...
One-Hour Prediction of the Global Solar Irradiance from All-Sky Images Using Artificial Neural Networks

Crisosto, Cristian; Hofmann, Martin; Mubarak, Riyad; Seckmeyer, Gunther (Basel : MDPI, 2018)

We present a method to predict the global horizontal irradiance (GHI) one hour ahead in one-minute resolution using Artificial Neural Networks (ANNs). A feed-forward neural network with Levenberg–Marquardt Backpropagation ...

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