Carbon emission status of public buildings in operation stage based on double regression prediction model

Based on the area data in the Shanghai statistical yearbook and the energy consumption information in the energy audit report of public buildings in Huangpu District, constructs a double regression prediction model of building carbon emission. According to the influencing factors of building energy consumption, parameterizes different air conditioning system forms and energy saving transformation degrees and adds them into the prediction model, which quantifies the influence of these abstract factors on building carbon emission, effectively improves the accuracy of the prediction model and is suitable for the research of building carbon emission in different scenarios. Uses the model to predict the carbon emissions of public buildings in Huangpu District from 2012 to 2025.