A Research on CO2 Emissions Intensity Prediction Based On the IOWA Combination Forecast Model

To solve the CO2 emissions intensity prediction problems in Hebei from China, the authors establish the IOWA combination forecasting model based on the improved gray and generalized neural networks. Taking data on the 2002-2011 Hebei CO2 emissions intensity as a basis, the authors use the contrasted combination forecasting model to forecast the data in the next five years. The results show that the predictions of the proposed combination model are more accurate. The model which is contrasted in this paper can be more effectively to solve CO2 emissions intensity forecasting problems.