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Forecasting CO2 Emissions in China's Construction Industry Based on the Weighted Adaboost-ENN Model and Scenario Analysis
2019
Journal of Energy
As a pillar industry of national economy, China's construction industry is still facing the status of substantial energy consumption and high CO2 emissions, which is a key field of energy conservation and emission reduction. In CO2 emissions research, it is essential to focus on analyzing the present and future trends of CO2 emissions in China's construction industry. This article introduces a novel prediction model, in which the weighted algorithm is combined with Elman neural network (ENN)
doi:10.1155/2019/8275491
fatcat:o6ywf3e2dzhdbnha7o4i6uloqq