The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 19, 2020

Filed:

May. 19, 2017
Applicant:

The Catholic University of America, Washington, DC (US);

Inventors:

Kevin F. Forbes, Silver Spring, MD (US);

Ernest M. Zampelli, Ellicot City, MD (US);

Assignee:

The Catholic University of America, Washington, DC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01W 1/10 (2006.01); G06N 20/00 (2019.01); G06F 16/23 (2019.01); G06F 17/18 (2006.01); G06Q 10/04 (2012.01); G06Q 50/06 (2012.01); G06F 17/10 (2006.01); G01W 1/00 (2006.01);
U.S. Cl.
CPC ...
G01W 1/10 (2013.01); G06F 16/23 (2019.01); G06F 17/10 (2013.01); G06F 17/18 (2013.01); G06N 20/00 (2019.01); G06Q 10/04 (2013.01); G06Q 50/06 (2013.01); F05B 2260/8211 (2013.01); G01W 2001/006 (2013.01); G01W 2201/00 (2013.01); G01W 2203/00 (2013.01);
Abstract

A computer system and method for improving the accuracy of predictions of the amount of renewable energy, such as solar energy and wind energy, available to an electric utility, and/or refine such predictions, by providing improved integration of meteorological forecasts. Coefficient values are calculated for a renewable energy generation model by performing a regression analysis with the forecasted level of renewable energy posted by the utility, forecasted weather conditions and measures of seasonality as explanatory variables. Accuracy is further enhanced through the inclusion of a large number of time series variables that reflect the systematic nature of the energy/weather system. The model also uses the original forecast posted by the system operator as well as variables to control for season.


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