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stat.AP2025★ 1 cited
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…
stat.AP2024
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…