4 citations · 5 across the 3 of their papers we have counts for
3 papers
stat.AP2017★ 4 cited
A Stochastic Generator of Global Monthly Wind Energy with Tukey -and- Autoregressive Processes
Jaehong Jeong, Yuan Yan, Stefano Castruccio +1
Quantifying the uncertainty of wind energy potential from climate models is a very time-consuming task and requires a considerable amount of computational resources. A statistical…
stat.AP2017
Reducing Storage of Global Wind Ensembles with Stochastic Generators
Jaehong Jeong, Stefano Castruccio, Paola Crippa +1
Wind has the potential to make a significant contribution to future energy resources. Locating the sources of this renewable energy on a global scale is however extremely challengi…
stat.AP2015★ 1 cited
Covariance models on the surface of a sphere: when does it matter?
Jaehong Jeong, Mikyoung Jun
There is a growing interest in developing covariance functions for processes on the surface of a sphere due to wide availability of data on the globe. Utilizing the one-to-one mapp…