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20202022
most citedIdentification of the energy contributions associated with wall-attached eddies and very-large-scale motions in the near-neutral atmospheric surface layer through wind LiDAR measurements

26 citations · 64 across the 6 of their papers we have counts for

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cs.LG2021★ 1 cited

Data-Driven Wind Turbine Wake Modeling via Probabilistic Machine Learning

S. Ashwin Renganathan, Romit Maulik, Stefano Letizia +1

Wind farm design primarily depends on the variability of the wind turbine wake flows to the atmospheric wind conditions, and the interaction between wakes. Physics-based models tha…