Robotics & Machine Learning Daily News2024,Issue(Jan.24) :141-144.

Researchers Submit Patent Application, 'Machine Learning For Power Consumption Attribution', for Approval (USPTO 20240005143)

Robotics & Machine Learning Daily News2024,Issue(Jan.24) :141-144.

Researchers Submit Patent Application, 'Machine Learning For Power Consumption Attribution', for Approval (USPTO 20240005143)

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Abstract

News editors obtained the following quote from the background information supplied by the inventors:“Over the past few years, people have been acquiring more and more electronic devices that are eitherplugged into electric outlets at home or use electric outlets at home to charge. Thus, tracking electricityusage has become more important so that electricity may be used more efficiently. A user may wantto know which devices are consuming electricity and how much they are consuming. For example, thisknowledge may enable the user to make adjustments to their usage to reduce waste or identify a devicethat is malfunctioning. In some instances, if a user would like to know how much electricity a device isusing, the user may install an electricity usage monitor at each individual outlet. The electricity usagemonitor may display how many kilowatt hours (kWh) are being used by an individual device.

Key words

Business/Capital One Services LLC/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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