DocumentCode :
3409891
Title :
A grey forecasting model for coal production and consumption
Author :
Ma, Hong-Wei ; Zhang, Dong-Qing
Author_Institution :
Coll. of Eng., Nanjing Agric. Univ., Nanjing, China
fYear :
2009
fDate :
10-12 Nov. 2009
Firstpage :
512
Lastpage :
516
Abstract :
China has already become world´s largest coal producer and consumer. China´s production in 2006 roughly equaled the combined production of the next four top producers (the United States, India, Australia and Russia). The dynamic GM(1,1) model of grey theory is used to forecast the coal production and consumption 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 coal production and consumption from 1990 to 2007 in China, and forecast China´s coal production and consumption 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). And the forecast results indicate that China´s coal production and consumption will continue to increase rapidly in the period of 2008 to 2015.
Keywords :
Markov processes; coal; forecasting theory; grey systems; mining industry; Grey-Markov forecasting model; Markov chain; coal consumption; coal production; dynamic GM(1,1) model; forecast accuracy; grey forecasting model; grey theory; Australia; Data analysis; Differential equations; Economic forecasting; Intelligent systems; Load forecasting; Mathematical model; Power generation economics; Predictive models; Production systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4914-9
Electronic_ISBN :
978-1-4244-4916-3
Type :
conf
DOI :
10.1109/GSIS.2009.5408261
Filename :
5408261
Link To Document :
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