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:
Nov. 03, 2026

Filed:

May. 26, 2023
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Eun Kyung Lee, Bedford Corners, NY (US);

Sunyanan Choochotkaew, Tokyo, JP;

Huamin Chen, Newton, MA (US);

Kaiyi Liu, Richmond Hill, CA;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 1/26 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 1/26 (2013.01);
Abstract

Computer-implemented methods for adaptively training a machine learning model for estimating energy consumption in a cloud computing system are provided. Aspects include detecting an update event in the cloud computing system and collecting energy consumption data for the cloud computing system for a time period after the occurrence of the update event. Aspects also include retraining a power consumption model based at least in part on the data collected during the time period and storing the power consumption model in the cloud computing system.


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Lee, Eun. (2026). Adaptively training a machine learning model for estimating energy consumption in a cloud computing system (U.S. Patent No. 12783949). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12783949

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