Affiliation:
1. Inner Mongolia University of Science and Technology
Abstract
The paper uses the changeable weight combination forecasting model that combines GM (1, 1) model and regression model to predict the coal supply of China. Firstly, briefly introduce the basic principles of the GM (1, 1) model, regression model and changeable weight combination forecasting model. Secondly, use the three models to predict the total amount of coal supply of China. Finally the research shows that the changeable weight combination forecasting model can improve the prediction accuracy, at the same time the relevant recommendations are given according to the prediction results.
Publisher
Trans Tech Publications, Ltd.
Reference3 articles.
1. Song Yuchen, Zhang Zhiqi. Prediction on Energy Requirements of China"12th Five Planning" Base on ARIMA Model[J]. Coal Engineering, 2012(01): 76-79.
2. Wang Jianliang, Feng Lianyong, Tverberg, Gail E. An analysis of China's coal supply and its impact on China's future economic growth[J]. ENERGY POLICY, 2013, 57: 542-551.
3. Tang Zhenhua, Su Yaxin, Mao Yuru. The Thinking about development of new energy to replace fossil energy[J]. Energy and Environment, 2005(2): 10-13.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献