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:
Jul. 08, 2025

Filed:

Sep. 12, 2023
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Sharmin Pathan, Bellevue, WA (US);

Dmitriy Belyi, Austin, TX (US);

Ivan Borges Oliveira, Bellevue, WA (US);

Ravikanth Kundurthi, Sammamish, WA (US);

Daniel Thomas Meiller, Kirkland, WA (US);

Pradeep Chowdary Mandava, Sammamish, WA (US);

Burak Karacik, Seattle, WA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/16 (2006.01); G06F 9/54 (2006.01); H04L 29/06 (2006.01); H04L 47/70 (2022.01); H04L 47/762 (2022.01); H04L 47/80 (2022.01);
U.S. Cl.
CPC ...
H04L 47/762 (2013.01); H04L 47/801 (2013.01); H04L 47/822 (2013.01);
Abstract

Techniques for allocating resources and generating resource allocation instructions are described herein. A model can generate a historical error for resources of a facility based on a first set of predicted resource imbalances and historical data for resources imbalances of the facility for a first set of previous time periods. The model can receive a second predicted resource imbalance for the resources of the facility associated with a first future time period. The model can receive real-time signals for states of the resources of the facility associated with a present time period. The model can generate an adjusted resource prediction for the resources of the facility based at least in part on the historical error, the second predicted resource imbalance, and the real-time resource signals. The adjusted resource prediction can be associated with the first future time period.


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