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.:
Date of Patent:
Jan. 03, 2023
Filed:
Jan. 18, 2018
Applicants:
Bing Dong, Helotes, TX (US);
Zhaoxuan LI, San Antonio, TX (US);
Inventors:
Bing Dong, Helotes, TX (US);
Zhaoxuan Li, San Antonio, TX (US);
Assignee:
Board of Regents, The University of Texas System, Austin, TX (US);
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01W 1/11 (2006.01); H02J 3/38 (2006.01); H02S 40/32 (2014.01); H02M 3/156 (2006.01); G06Q 50/06 (2012.01); H02J 3/00 (2006.01); G01W 1/10 (2006.01);
U.S. Cl.
CPC ...
H02J 3/004 (2020.01); G01W 1/10 (2013.01); G06Q 50/06 (2013.01); H02J 3/381 (2013.01); H02M 3/156 (2013.01); H02S 40/32 (2014.12); H02J 2300/24 (2020.01);
Abstract
A photovoltaic system can include multiple photovoltaic power inverters that convert sunlight to power. An amount of power for each of the inverters can be measured over a period of time. These measurements, along with other data, can be collected. The collected measurements can be used to generate artificial neural networks that predict the output of each inverter based on input parameters. Using these neural networks, the total solar power generation forecast for the photovoltaic system can be predicted.