Modeling and Prediction of Building Carbon Emission in Jiangsu Province

Reducing building carbon emission is an effective strategy for energy conservation and emission reduction, and accurate carbon emission prediction can provide an important reference for formulating emission reduction policies and optimizing low-carbon building design. Based on the historical data of the whole process of building carbon emissions in Jiangsu Province, this paper established a prediction model based on long short term memory networks and predicted the total carbon emissions of Jiangsu Province in 2023. Modeling and forecasting are of great significance for building carbon emission reduction and policy formulation in Jiangsu Province.