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:
Sep. 23, 2025

Filed:

Jun. 03, 2022
Applicant:

Florida Power & Light Company, Juno Beach, FL (US);

Inventors:

Paul R. Hynes, Jupiter, FL (US);

Matthew R. Moxley, Palm City, FL (US);

Jason S. Price, Palm Beach Gardens, FL (US);

Thomas W. Gwaltney, Palm Coast, FL (US);

Iliana M. Rentz, West Palm Beach, FL (US);

Jose Luis Medina, Jupiter, FL (US);

Assignee:

FLORIDA POWER & LIGHT COMPANY, Juno Beach, FL (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/20 (2019.01); G01W 1/10 (2006.01); G06F 16/25 (2019.01); G06N 7/01 (2023.01);
U.S. Cl.
CPC ...
G06N 20/20 (2019.01); G01W 1/10 (2013.01); G06F 16/25 (2019.01); G06N 7/01 (2023.01);
Abstract

A storm damage response system includes a storm ensemble database that stores ensemble forecast models associated with potential storm paths of a storm across a geographic area and an inventory database that stores inventory data associated with location and characteristics of power-providing equipment in the geographic area. A storm damage model algorithm generates a storm response plan comprising an operational procedure for repairing or maintaining power transmission and distribution electric systems to mitigate storm damage impact based on generating a probabilistic model for each of the ensemble forecast models based on the inventory data and calculating a statistical impact value associated with the probabilistic model based on an aggregate of iterative probabilistic simulations for the respective ensemble forecast model. The storm response plan can be generated based on the relative statistical impact value of the probabilistic model of each of the ensemble forecast models.


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