A transformer trained on 12,000 CFD simulations reconstructs 30-meter-resolution 3D wind and turbulence fields from kilometer-scale 10-meter wind inputs plus terrain data.
IEEE Transactions on sustainable energy7(4), 1525–1537 (2016)
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Terrain-aware Deep Learning for Wind Energy Applications: From Kilometer-scale Forecasts to Fine Wind Fields
A transformer trained on 12,000 CFD simulations reconstructs 30-meter-resolution 3D wind and turbulence fields from kilometer-scale 10-meter wind inputs plus terrain data.