Robotics & Machine Learning Daily News2024,Issue(Aug.16) :80-81.

Recent Findings from Stanford University Provides New Insights into Machine Lear ning (E-audit: a 'no-touch' Energy Audit That Integrates Machine Learning and Si mulation)

Robotics & Machine Learning Daily News2024,Issue(Aug.16) :80-81.

Recent Findings from Stanford University Provides New Insights into Machine Lear ning (E-audit: a 'no-touch' Energy Audit That Integrates Machine Learning and Si mulation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsoriginating from Stanford, California , by NewsRx correspondents, research stated, “Identifying potentialpathways for enhancing the energy efficiency of our building stock is a clear and compelling pathway todecarbonization. However, doing so requires resource-intensive build ing energy audits that often requirean engineer to make on-site inspections and analyses.”

Key words

Stanford/California/United States/Nor th and Central America/Cyborgs/Emerging Technologies/Machine Learning/Stanfo rd University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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