Robotics & Machine Learning Daily News2024,Issue(Aug.16) :51-52.

Reports from University of Melbourne Provide New Insights into Artificial Intell igence (An Artificial Intelligence Framework for Predicting Operational Energy C onsumption In Office Buildings)

Robotics & Machine Learning Daily News2024,Issue(Aug.16) :51-52.

Reports from University of Melbourne Provide New Insights into Artificial Intell igence (An Artificial Intelligence Framework for Predicting Operational Energy C onsumption In Office Buildings)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ar tificial Intelligence. According to news reportingout of Melbourne, Australia, by NewsRx editors, research stated, “This research delves into the intricatedyn amics of energy consumption in buildings, using data-driven modeling with machin e learning (ML)algorithms to optimize design choices for heightened energy effi ciency. A substantial dataset, comprising66,800 operational energy records from office buildings in 40 cities worldwide representing 10 distinctclimate condit ions, was analyzed using four ML algorithms: Random Forest Regressor, Extra Tree sRegressor, Gradient Boosting Regressor (GBR), and eXtreme Gradient Boosting Re gressor (XGBR).”

Key words

Melbourne/Australia/Australia and New Zealand/Artificial Intelligence/Emerging Technologies/Machine Learning/Unive rsity of Melbourne

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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