Study on Natural Gas Demand Prediction Model in China

Xue Feng; Jin Suo Zhang; Shao Hui Zou; Wuyunbilige Bao

doi:10.4028/www.scientific.net/AMR.869-870.533

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 869-870Study on Natural Gas Demand Prediction Model in...

Study on Natural Gas Demand Prediction Model in China

Abstract:

Based on the characteristics of natural gas demand trend, this paper proposed ARIMA model which can predict China's natural gas demand as an effective tool. Compared with the RBF neural network model and combined model, empirical results show that the accuracy and stability of the ARIMA model is best.

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Periodical:

Advanced Materials Research (Volumes 869-870)

Pages:

533-536

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.869-870.533

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Online since:

December 2013

Authors:

Xue Feng, Jin Suo Zhang, Shao Hui Zou, Wuyunbilige Bao

Keywords:

ARIMA Model, Combined Model, Prediction on Natural Gas Demand, RBF Neural Network Model

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