Predicting Thermal Comfort of HVAC Building Using 6 Thermal Factors

Barium compounds; Forecasting; Nearest neighbor search; Office buildings; Sodium compounds; Support vector machines; Thermal comfort; Accurate prediction; Classification trees; Commercial building; Environmental conditions; K-nearest neighbors; Machine learning models; Prediction process; Thermal fa...

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Bibliographic Details
Main Authors: Mohamed Salleh F.H., Saripuddin M.B., Bin Omar R.
Other Authors: 26423229000
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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Summary:Barium compounds; Forecasting; Nearest neighbor search; Office buildings; Sodium compounds; Support vector machines; Thermal comfort; Accurate prediction; Classification trees; Commercial building; Environmental conditions; K-nearest neighbors; Machine learning models; Prediction process; Thermal factors; HVAC