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Activity Number: 620 - Spatial and Spatiotemporal Modeling in Climate and Meteorology
Type: Contributed
Date/Time: Thursday, August 1, 2019 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics and the Environment
Abstract #301792
Title: Stochastically Downscaling High-Frequency Solar Irradiance Data
Author(s): Wenqi Zhang* and William Kleiber and Bri-Mathias Hodge
Companies: University of Colorado, Boulder and University of Colorado and University of Colorado, Boulder
Keywords: Jump diffusion; Non-Gaussian; Time series

Solar power is increasingly cost viable with solar photovoltaic (PV) installations becoming commonplace. PV planning and operational studies, however, require high-frequency solar irradiance scenarios to understand potential electric grid impacts due to the variability and uncertainty of the underlying solar resource. Existing remote sensing solar data products are often available over large spatial domains, but are limited in temporal resolution. We introduce and discuss a new stochastic jump diffusion process to temporally downscale a popular satellite-based irradiance data product and validate it on multiple challenging datasets.

Authors who are presenting talks have a * after their name.

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