The Optimal Method of Natural Gas Distribution of China

Ru Fei Zhang; Li Jun Liu

doi:10.4028/www.scientific.net/AMR.827.422

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 827The Optimal Method of Natural Gas Distribution of...

The Optimal Method of Natural Gas Distribution of China

Abstract:

For one thing Energy distribution is an important link during the countrys sustainable development for another it is the key issue that decides whether a county is up to the international standard, therefore, increasingly importance has been attached to the selection and distribution of the energy. From the perspective of practical applications and the situation of Chinas natural gas assumption, we set up model and forecast China next three years natural gas assumption. Based on it, we found models in different industries, which maximize the degree of satisfaction of the natural gas consumption distributed to diverse vocations.

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Periodical:

Advanced Materials Research (Volume 827)

Pages:

422-427

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.827.422

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Online since:

October 2013

Authors:

Ru Fei Zhang, Li Jun Liu

Keywords:

Distribution Model, Forecast, Natural Gas Assumption, Satisfaction Maximization

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References

[1] The Institute of Mathematical Statistics, Commonly used mathematical statistics method. Beijing: Science Press, (1979).

Google Scholar

[2] Suykens J. A. K, Van Gestel, Brabanter J. De, Moor B. De, Vandewalle J. Least Square Support Machines. Singapore: World Scientific. (2007).

DOI: 10.1142/5089

Google Scholar

[3] Liang Qiaomei, Wei Yiming, Fan Ying, Norio Okada. China's energy demand and energy intensity predicted situational analysis and its application. China Journal of Management, (2004).

Google Scholar

[4] Hu Guangyu . Strategic Quantitative Reserch: Forecasting and Decision-making Beijing: TsingHua University Press, (2005).

Google Scholar

[5] H. Morita, Y. kase, Y. Tamura, S. Iwamoto, Interval prediction of annual maximum demand using Grey dynamic model [J]. Electrical Power & Energy System. (2003).

DOI: 10.1016/0142-0615(95)00019-4

Google Scholar