Researchers at University of Bristol Publish New Study Findings on Machine Learn ing (Comparing four machine learning algorithms for household non-intrusive load monitoring)

Robotics & Machine Learning Daily News2024，Issue(Sep.5) ：63-64.

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Researchers at University of Bristol Publish New Study Findings on Machine Learn ing (Comparing four machine learning algorithms for household non-intrusive load monitoring)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Research findings on artificial intelligence are discussed in a new report. According to news reportingout of the University of Bristol by NewsRx editors, research stated, “The combination of Machine Learning (ML), smart energy meters, and availability of household appliance energy profi le data has opened newopportunities for Non-Intrusive Load Monitoring (NILM).”

Key words

University of Bristol/Algorithms/Cybor gs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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