Abstract
The crude oil demand is growing rapidly in China, driven by its rapid industrialization and motorization. China has already become the second-largest oil importer nation in the world, after the United States. The dynamic GM (1,1) model of grey theory is used to develop the dynamic GM(1,1) model to forecast the crude oil consumption and production in China. In order to improve the forecast accuracy, the original GM (1, 1) models are improved by using Markov-chain. We analyze the data of the crude oil consumption and production from 1990 to 2006 in China, and forecast China’s crude oil consumption and production by this Grey-Markov forecasting model, which shows that the improved grey forecasting model is of more reliability and higher forecast accuracy than GM (1, 1). The forecast results indicate that China’s crude oil consumption and production will continue to increase rapidly in the period of 2007 to 2015.
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References
Deng, J.L.: Grey System (Society and Economy). Publishing House of National Defense Industry, Wuhan (1985)
Wang, X.H., Feng, Z.M.: Rural household energy with the economic development in China: stages and characteristic indices. Energy Policy 29, 1391–1397 (2001)
He, Y., Bao, Y.D.: Grey-Markov forecasting model and its application. System Engineering-Theory & Practice 9, 59–63 (1992)
Deng, J.L.: Control Problems of Grey System. Huazhong University of Science and Technology Press, Wuhan (1990)
Huang, M., He, Y., Cen, H.: Predictive analysis on electric-power supply and demand in China. Renewable Energy 32, 1165–1174 (2007)
Liu, S.F., Lin, Y.: An Introduction to Grey Systems: Foundation, Methodology and Application, pp. 97–111. IIGSS Academic Publisher, Slippery Rock (1998)
National Bureau of Statistic of China. China statistical year book. China Statistics Press, Beijing (2007)
Hu, D.L.: Applying the grey system theory to evaluate the competitive competence of enterprises. Journal of Scientific-Technical Progress and Strategy 20, 159–161 (2003)
He, Y.: A new forecasting model for agricultural commodities. Agric. Eng. Res. 60, 227–235 (1995)
CCICED: Energy Strategies and Techniques. Publishing House of China Environmental Science (1997)
Hsu, C.I., Wen, Y.H.: Improved grey prediction models for the trans-Pacific air passenger market. Transportation planning and Technology 22, 87–107 (1998)
Chao, H.W.: Predicting tourism demand using fuzzy time series and hybrid grey theory. Tourism Manage 25, 367–374 (2004)
Lee, C.: Grey system theory wins application on earthquake forecasting. Journal of Seismology 4, 27–31 (1986)
He, Y., Bao, Y.D.: Grey-Markov forecasting model and its application. Sys. Eng (Theory Practice) 9, 59–63 (1992)
Li, C.H.: Applying the grey prediction model to the global integrated circuit industry. Technological Forecasting and Social Change 70, 63–74 (2003)
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Ma, H., Zhang, Z. (2009). Grey Prediction with Markov-Chain for Crude Oil Production and Consumption in China. In: Wang, H., Shen, Y., Huang, T., Zeng, Z. (eds) The Sixth International Symposium on Neural Networks (ISNN 2009). Advances in Intelligent and Soft Computing, vol 56. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01216-7_58
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DOI: https://doi.org/10.1007/978-3-642-01216-7_58
Publisher Name: Springer, Berlin, Heidelberg
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