: This project presents a machine learning solution for predicting indoor room temperature using the Random Forest Regress or algorithm. The model leverages a comprehensive dataset incorporating outdoor conditions (temperature, humidity, wind speed), building characteristics (room size, window count, insulation quality...
J. J., B. Bell· Proceedings of the 1st Inter...· 0 citations
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