3 papers
eess.SY2026
Deep Learning Multi-Horizon Irradiance Nowcasting: A Comparative Evaluation of Three Methods for Leveraging Sky Images
Erling W. Eriksen, Magnus M. Nygård, Niklas Erdmann +1
We investigate three distinct methods of incorporating all-sky imager (ASI) images into deep learning (DL) irradiance nowcasting. The first method relies on a convolutional neural…
cs.LG2025
Multi-Horizon Time Series Forecasting of non-parametric CDFs with Deep Lattice Networks
Niklas Erdmann, Lars Bentsen, Roy Stenbro +3
Probabilistic forecasting is not only a way to add more information to a prediction of the future, but it also builds on weaknesses in point prediction. Sudden changes in a time se…
cs.LG2024
Deep and Probabilistic Solar Irradiance Forecast at the Arctic Circle
Niklas Erdmann, Lars Ã. Bentsen, Roy Stenbro +3
Solar irradiance forecasts can be dynamic and unreliable due to changing weather conditions. Near the Arctic circle, this also translates into a distinct set of further challenges.…