US 12,244,267 B2
Systems and methods for distributed-solar power forecasting using parameter regularization
Srivats Shukla, Elmsford, NY (US); Younghun Kim, Pleasantville, NY (US); and Aijun Deng, White Plains, NY (US)
Assigned to Utopus Insights, Inc., Valhalla, NY (US)
Filed by Utopus Insights, Inc., Valhalla, NY (US)
Filed on May 12, 2023, as Appl. No. 18/317,020.
Application 18/317,020 is a continuation of application No. 17/462,971, filed on Aug. 31, 2021, granted, now 11,689,154.
Application 17/462,971 is a continuation of application No. 16/235,283, filed on Dec. 28, 2018, granted, now 11,105,958, issued on Aug. 31, 2021.
Prior Publication US 2024/0056027 A1, Feb. 15, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. H02S 50/00 (2014.01); G01W 1/10 (2006.01); G08B 21/18 (2006.01); H02J 3/00 (2006.01); H02J 3/38 (2006.01)
CPC H02S 50/00 (2013.01) [G01W 1/10 (2013.01); G08B 21/18 (2013.01); H02J 3/004 (2020.01); H02J 3/38 (2013.01); H02J 3/381 (2013.01); G01W 2203/00 (2013.01); H02J 2203/20 (2020.01); H02J 2300/24 (2020.01)] 23 Claims
OG exemplary drawing
 
1. A non-transitory computer readable medium comprising executable instructions, the executable instructions being executable by one or more processors to perform a method, the method comprising:
receiving first historical meso-scale numerical weather predictions (NWP) for a first geographic distribution area for a first time period;
receiving first power flow information for the first geographic distribution area of the first time period;
correcting for overfitting of the first historical meso-scale NWP predictions to reduce correlations within the first historical meso-scale NWP predictions and improve accuracy and create first corrected historical meso-scale NWP predictions;
reducing parameters in the first corrected historical meso-scale NWP predictions to improve scalability and create first reduced, corrected historical meso-scale NWP predictions;
training first power flow models using the first reduced, corrected historical meso-scale NWP predictions and the first power flow information for all or parts of the first geographic distribution area;
receiving first current meso-scale numerical weather predictions (NWP) for the first geographic distribution area for a first future time period;
applying any number of first power flow models to the first current meso-scale numerical weather predictions (NWP) to generate any number of power flow predictions that predict power flow within or from portions of the first geographic distribution area;
comparing one or more of the any number of power flow predictions to one or more first thresholds to determine significance of reverse power flows;
generating a first report including at least one prediction of the reverse power flow based on the comparison and identifying the first geographic distribution area that may be impacted by the at least one prediction of the reverse power flow; and
generating an alert to a digital device based on the at least one prediction of the reverse power flow that may impact one or more electrical assets that distributes power to the portion of the first geographic distribution area.