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Activity Number: 64 - Modeling Uncertainty in Energy Systems
Type: Topic Contributed
Date/Time: Sunday, July 28, 2019 : 4:00 PM to 5:50 PM
Sponsor: Section on Statistics and the Environment
Abstract #304791
Title: A Stochastic Generator of Global Wind Ensembles
Author(s): Jaehong Jeong*
Companies: University of Maine
Keywords: Nonstationarity; Spatio-temporal covariance model; Sphere; Stochastic generator; Wind energy

Uncertainty quantification of wind energy potential from climate models can be limited because it requires considerable computational resources and is time-consuming. We propose a stochastic generator that aims at reproducing the data-generating mechanism of climate ensembles for global annual, monthly, and daily wind data. Inferences based on a multi-step conditional likelihood approach are achieved by balancing memory storage and distributed computation for a large data set.

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