Development of a Regression Model for Evaluating Energy Consumption Performance of Daycare Centers Using Open Public Data

To achieve carbon neutrality and address climate change, policies such as zero-energy buildings (ZEB) and green remodeling (GR) are being implemented globally to reduce building carbon emissions.However, the current energy use intensity (EUI) metric may not adequately reflect the operational characteristics.Therefore, a standardized model is necessary to evaluate building energy consumption accurately.This study developed a regression model using open public data to evaluate the energy performance of daycare centers.Key influencing factors, such as nursery room area, number of children, building area, floor area ratio, calculated gross floor area, and height, were identified for correlation analysis.The model predicts cooling, heating, and base energy usage, with R values ranging from 0.4147 to 0.6520.Future work will focus on enhancing the credibility of the model by incorporating building performance and external environmental variables to infer and evaluate the impact of user behavior.