Natural Gas Load Forecasting with Analysis of Environmental Resources Based on Gray Model

Wei Ya Shi

doi:10.4028/www.scientific.net/AMR.908.433

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 908Natural Gas Load Forecasting with Analysis of...

Natural Gas Load Forecasting with Analysis of Environmental Resources Based on Gray Model

Abstract:

The forecast of natural gas load is a comprehensive and difficult job. In this paper, the gas load forecasting with analysis of environmental resources based on gray model is discussed. The load data of some city from 2002 to 2011 is considered. The different experiments are finished to validate the method. From the experiments, it can be conclude that the gray forecasting model is suitable to short term forecasting. In addition, it can also be found that the oldest data has little influence on the future forecasting data.

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Periodical:

Advanced Materials Research (Volume 908)

Pages:

433-436

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.908.433

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Online since:

March 2014

Authors:

Wei Ya Shi

Keywords:

Forecasting, Gray, Load, Long Term

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References

[1] Changhao Xia, Jian Wang, Karen McMenemy. Short, medium and long term load forecasting model and virtual load forecaster based on radial basis function neural networks, Electrical Power and Energy Systems 32 (2010) 743–750.

DOI: 10.1016/j.ijepes.2010.01.009

Google Scholar

[2] Bozidar Soldo， Forecasting natural gas consuption，Applied Energy 92(2012), pp.26-37.

Google Scholar

[3] Jiri V, Emil P, Konar O, Jana C, Eben K, Maly M, etal. A statistical model for the estimation of natural gas consumption. Applied Energy, 85: 362-370(2008).

Google Scholar

[4] YANG Zhao, LIU Yan, MIAO Zhibin and LIU Zhenneng, Application of Neural network in Natural Gas Load Forecasting, Gas & Heat, 23(6), p.331—332(2003).

Google Scholar

[5] Julong Deng, The foundation of gray theory, HuaZhong University of Science & Technology Press Co., Ltd, (2002).

Google Scholar

[6] Jie Cui , Si-feng Liu , Bo Zeng , Nai-ming Xie, A novel grey forecasting model and its optimization, AppliedMathematical Modelling, 37: 4399-4406(2013).

DOI: 10.1016/j.apm.2012.09.052

Google Scholar

[7] Mingli Lei , Zuren Feng, A proposed grey model for short-term electricity price forecasting in competitive power markets, Electrical Power and Energy Systems, 43: 531-538(2012).

DOI: 10.1016/j.ijepes.2012.06.001

Google Scholar