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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.

Patent No.:

US 11728767 B1

PDFFull Text
Date of Patent:
Aug. 15, 2023

Filed:

Nov. 26, 2019

Techniques for quantifying behind-the-meter solar power generation

Applicant:

Itron, Inc., Liberty Lake, WA (US);

Inventor:

Brian Glaister, Seattle, WA (US);

Assignee:

ITRON, INC., Liberty Lake, WA (US);

Attorney:

Artegis Law Group, LLP

Primary Examiner:

Daniel R Miller

Assistant Examiner:

Christian T Bryant

Int. Cl.
CPC ...
H02S 50/00 (2014.01); G01W 1/00 (2006.01); G06F 17/18 (2006.01); G06Q 50/06 (2012.01); G06N 3/02 (2006.01); G01W 1/10 (2006.01); G06Q 10/06 (2023.01); G01W 1/12 (2006.01); G06T 17/00 (2006.01); G05B 13/02 (2006.01); G06T 19/00 (2011.01);
U.S. Cl.
CPC ...
H02S 50/00 (2013.01); G01W 1/00 (2013.01); G06F 17/18 (2013.01); G06Q 50/06 (2013.01); G01W 1/10 (2013.01); G01W 1/12 (2013.01); G01W 2001/006 (2013.01); G01W 2201/00 (2013.01); G01W 2203/00 (2013.01); G05B 13/02 (2013.01); G06N 3/02 (2013.01); G06Q 10/06 (2013.01); G06T 17/00 (2013.01); G06T 19/00 (2013.01); Y02E 10/50 (2013.01);
Abstract

A forecast engine is configured to analyze aerial and/or satellite images depicting a geographic area to identify the existence of solar panels within the geographic area at different times. Based on the installation time of each solar panel, the forecast engine estimates the solar power generation capacity of the solar panel. The forecast engine also analyzes meteorological data, including weather forecasts, to estimate a level of insolation at each solar panel within the geographic area across a range of times. The forecast engine can then determine the total amount of solar power generation within the given geographic area at a particular time using the solar power generation capacity of each solar panel and the level of insolation at each solar panel at the particular time.

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