A machine learning model predicts 1km-resolution nighttime summer air temperature from building volumes derived from a new fast CityGML voxelization method, with Random Forest capturing spatial patterns better than XGBoost.
Ma- chine learning applications in urban building energy performance fore- casting: A systematic review
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Predicting Air Temperature from Volumetric Urban Morphology with Machine Learning
A machine learning model predicts 1km-resolution nighttime summer air temperature from building volumes derived from a new fast CityGML voxelization method, with Random Forest capturing spatial patterns better than XGBoost.