3 papers
stat.ML2020
Statistical post-processing of wind speed forecasts using convolutional neural networks
Simon Veldkamp, Kirien Whan, Sjoerd Dirksen +1
Current statistical post-processing methods for probabilistic weather forecasting are not capable of using full spatial patterns from the numerical weather prediction (NWP) model.…
stat.AP2019
Comparison of statistical post-processing methods for probabilistic NWP forecasts of solar radiation
Kilian Bakker, Kirien Whan, Wouter Knap +1
The increased usage of solar energy places additional importance on forecasts of solar radiation. Solar panel power production is primarily driven by the amount of solar radiation…
stat.ME2018
Improving precipitation forecasts using extreme quantile regression
Jasper Velthoen, Juan-Juan Cai, Geurt Jongbloed +1
Aiming to estimate extreme precipitation forecast quantiles, we propose a nonparametric regression model that features a constant extreme value index. Using local linear quantile r…