165 citations · 167 across the 3 of their papers we have counts for
3 papers
Zero and Few Shot Load Forecasting with Large Language Models
Wenlong Liao, Chengrui Zhang, Zhe Yang +4
Deep learning models have shown strong performance in load forecasting, but they generally require large amounts of data for model training before being applied to new scenarios, w…
Subgrid-scale modeling of reacting scalar fluxes in large-eddy simulations of atmospheric boundary layers
Jean-François Vinuesa, Fernando Porté-Agel, Sukanta Basu +1
In large-eddy simulations of atmospheric boundary layer turbulence, the lumped coefficient in the eddy-diffusion subgrid-scale (SGS) model is known to depend on scale for the case…
Large-Eddy Simulation of Stably Stratified Atmospheric Boundary Layer Turbulence: A Scale-Dependent Dynamic Modeling Approach
Sukanta Basu, Fernando Porté-Agel
A new tuning-free subgrid-scale model, termed `locally-averaged scale-dependent dynamic' (LASDD) model, is developed and implemented in large-eddy simulations (LESs) of stable boun…