A U-net trained on 252 LES urban configurations predicts mean wind speed and turbulence intensity with about 9% and 5% mean relative error, respectively, and runs in about one second.
, year 2015
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From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions
A U-net trained on 252 LES urban configurations predicts mean wind speed and turbulence intensity with about 9% and 5% mean relative error, respectively, and runs in about one second.