Method for Estimating Energy Use Intensity Based on Building Facade
In this research, a vision-based performance prediction model was developed to estimate building energy consumption based on simplified façade attribute information and weather conditions. Building façade features, including shading, window-to-wall ratio, orientation, surface-to-volume ratio, were collected along with the energy performance records from the New York City building energy benchmarking database. Based on this training dataset, a prediction model was established to estimate annual energy use. The developed estimation model adopted architectural physical attributes and their dynamic ambient environmental conditions as input variables.
keywords: Energy Use Intensity (EUI), Baseline Model, Regression, Façade Features