Skip to Content
Find More Like This
Return to Search

SOLAR FORECASTING USING MACHINE LEARNED CLOUDINESS CLASSIFICATION

United States Patent Application

20180039891
A1
View the Complete Application at the US Patent & Trademark Office
Methods and systems for predicting irradiance include learning a classification model using unsupervised learning based on historical irradiance data. The classification model is updated using supervised learning based on an association between known cloudiness states and historical weather data. A cloudiness state is predicted based on forecasted weather data. An irradiance is predicted using a regression model associated with the cloudiness state.
Hamann, Hendrik F. (Yorktown Heights, NY), Khabibrakhmanov, Ildar (Syosset, NY), Kim, Younghun (White Plains, NY), Lu, Siyuan (Yorktown Heights, NY)
15/ 226,445
August 2, 2016
STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT [0001] This invention was made with Government support under Contract No. DE-EE0006017 awarded by Department of Energy. The Government has certain rights in this invention.