Prediction on Chinas Coal Supply Based on Changeable Weight Combination Forecasting Model

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.

• Periodical: Applied Mechanics and Materials (Volume 521)
• Pages: 868-871
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.521.868
• Online since: February 2014
• Authors: Yu Chen Song, Xiao Bing Li, Hai Dong Meng, Zhen Hua Yang
• Keywords: Changeable Weight Combination Forecasting Model, Coal Supply, GM(1,1) Model, Regression Model

References

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