3 papers
stat.ME2026
Uncertainty Quantification in Forecast Comparisons
Marc-Oliver Pohle, Tanja Zahn, Sebastian Lerch
Skill scores, which measure the relative improvement of a forecasting method over a benchmark via consistent scoring functions and proper scoring rules, are a standard tool in fore…
econ.EM2026
Energy-Arena: A Dynamic Benchmark for Operational Energy Forecasting
Max Kleinebrahm, Jonathan Berrisch, Philipp Eiser +11
Energy forecasting research faces a persistent comparability gap that makes it difficult to measure consistent progress over time. Reported accuracy gains are often not directly co…
stat.AP2025
Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods
Martin János Mayer, Ãgnes 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…