most citedConstructing low-dimensional stochastic wind models through hierarchical spatial temporal decomposition

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

math.NA2016★ 4 cited

Constructing low-dimensional stochastic wind models through hierarchical spatial temporal decomposition

Qiang Guo, Daniel Rajewski, Eugene Takle +1

Current wind turbine simulations successfully use turbulence generating tools for modeling behavior. However, they lack the ability to reproduce variabilities in wind dynamics and…