Graduate Statistics Seminar
Maryam Emami Neyestanak
UIC, MSCS
Forecasting of direct solar irradiance using stochastic learning methods, clear sky data and the NWS database
Abstract: As part of Concentrating Solar Power Capital Cost and Expected O&M project, we model the direct solar irradiance using stochastic learning methods, clear sky data and the NWS database. Project partners NREL, Northwestern University, Colorado School of Mines, Argonne National Laboratory, and SolarReserve develop detailed performance and cost models. We use ARMA models with additional predictors from the National Digital Forecast Database (NDFD) of the National Weather Service (NWS), and our approach is motivated in large part by the work of Marquez and Coimbra, although we employ simpler forecasting models than their neural networks.
Wednesday November 2, 2016 at 3:00 PM in SEO 512