26 citations · 64 across the 6 of their papers we have counts for
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physics.flu-dyn2022★ 1 cited
Modeling Wind Turbine Performance and Wake Interactions with Machine Learning
C. Moss, R. Maulik, G. V. Iungo
Different machine learning (ML) models are trained on SCADA and meteorological data collected at an onshore wind farm and then assessed in terms of fidelity and accuracy for predic…
physics.flu-dyn2022★ 26 cited
Identification 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
Matteo Puccioni, Marc Calaf, Eric R. Pardyjak +4
Recent works on wall-bounded flows have corroborated the coexistence of wall-attached eddies, whose statistical features are predicted through Townsend's attached eddy hypothesis (…