2 citations · 2 across the 3 of their papers we have counts for
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Predictability of weakly turbulent systems from spatially sparse observations using data assimilation and machine learning
Vikrant Gupta, Yuanqing Chen, Minping Wan
We apply two data assimilation (DA) methods, a smoother and a filter, and a model-free machine learning (ML) shallow network to forecast two weakly turbulent systems. We analyse th…
Resolvent analysis for predicting energetic structures in the far wake of a wind turbine
Dachuan Feng, Vikrant Gupta, Larry K. B. Li +1
A thorough understanding of the energetic flow structures that form in the far wake of a wind turbine is essential for accurate turbine wake modeling and wind farm performance esti…
Model-Free Forecasting of Partially Observable Spatiotemporally Chaotic Systems
Vikrant Gupta, Larry K. B. Li, Shiyi Chen +1
Reservoir computing is a powerful tool for forecasting turbulence because its simple architecture has the computational efficiency to handle large systems. Its implementation, howe…