16 citations · 22 across the 4 of their papers we have counts for
4 papers
Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods
Martin János Mayer, Ágnes Baran, Sebastian Lerch +3
Accurate and reliable forecasting of photovoltaic (PV) power generation is crucial for grid operations, electricity markets, and energy planning, as solar systems now contribute a…
Improving Model Chain Approaches for Probabilistic Solar Energy Forecasting through Post-processing and Machine Learning
Nina Horat, Sina Klerings, Sebastian Lerch
Weather forecasts from numerical weather prediction models play a central role in solar energy forecasting, where a cascade of physics-based models is used in a model chain approac…
Uncertainty quantification for data-driven weather models
Christopher Bülte, Nina Horat, Julian Quinting +1
Artificial intelligence (AI)-based data-driven weather forecasting models have experienced rapid progress over the last years. Recent studies, with models trained on reanalysis dat…
Deep learning for post-processing global probabilistic forecasts on sub-seasonal time scales
Nina Horat, Sebastian Lerch
Sub-seasonal weather forecasts are becoming increasingly important for a range of socio-economic activities. However, the predictive ability of physical weather models is very limi…