1 citations · 1 across the 4 of their papers we have counts for
4 papers
Digital Twin for Wind Energy: Latest updates from the NorthWind project
Adil Rasheed, Florian Stadtmann, Eivind Fonn +12
NorthWind, a collaborative research initiative supported by the Research Council of Norway, industry stakeholders, and research partners, aims to advance cutting-edge research and…
Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach
Jacob Wulff Wold, Florian Stadtmann, Adil Rasheed +3
Atmospheric flows are governed by a broad variety of spatio-temporal scales, thus making real-time numerical modeling of such turbulent flows in complex terrain at high resolution…
Geometric Change Detection in Digital Twins using 3D Machine Learning
Tiril Sundby, Julia Maria Graham, Adil Rasheed +2
Digital twins are meant to bridge the gap between real-world physical systems and virtual representations. Both stand-alone and descriptive digital twins incorporate 3D geometric m…
A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction
Shady Ahmed, Suraj Pawar, Omer San +2
We put forth a long short-term memory (LSTM) nudging framework for the enhancement of reduced order models (ROMs) of fluid flows utilizing noisy measurements for air traffic improv…