首页|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)
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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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).”
MelbourneAustraliaAustralia and New ZealandArtificial IntelligenceEmerging TechnologiesMachine LearningUnive rsity of Melbourne
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