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20242026
most citedWind Power Assessment based on Super-Resolution and Downscaling -- A Comparison of Deep Learning Methods

1 citations · 1 across the 6 of their papers we have counts for

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stat.AP2024

Climate data selection for multi-decadal wind power forecasts

Sofia Morelli, Nina Effenberger, Luca Schmidt +1

Reliable wind speed data is crucial for applications such as estimating local (future) wind power. Global Climate Models (GCMs) and Regional Climate Models (RCMs) provide forecasts…

stat.AP2024★ 1 cited

Wind Power Assessment based on Super-Resolution and Downscaling -- A Comparison of Deep Learning Methods

Luca Schmidt, Nicole Ludwig

The efficient placement of wind turbines relies on accurate local wind speed forecasts. Climate projections provide valuable insight into long-term wind speed conditions, yet their…