Grey Correlation Analysis of China's Electricity Imports and its Influence Factors

Article Preview

Abstract:

China's electricity imports and its influence factors of ten years were analyzed. On this basis, the electricity imports and the influence factors of grey correlation were calculated by using grey correlation analysis method. It makes a conclusion that every influence factors effect on electricity imports, and establishes a grey model GM (1, n) of electricity imports as well as its influence factors and determines the quantitative relationship between the selected influence factors and electricity imported. The model has high accuracy, and meets the practical requirements, so that it makes a better load forecasting for our country and provides a theoretical basis for taking some electricity import measures.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2158-2162

Citation:

Online since:

October 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Liu Sifing, Xie Nailiang. Grey system theory and its application (fourth edition) [M]. BeiJing: Science Press, (2010).

Google Scholar

[2] Deng Julong. Grey Control System. Wu Han: Huazhong University of Science and Technology Press.

Google Scholar

[3] Wang Xuemeng. Grey system assembly. Wu Han: Huazhong University of Science and Technology Press, (2000).

Google Scholar

[4] Luo Ronggui, ChenWei. Grey system model improvements and applications. Systems engineering theory and practice, 1988, 8( 2) , pp.46-52.

Google Scholar

[5] Chin-Tsai, Forecast of the output value of Taiwan's opto-electronics industry using the Grey forecasting model, Technological Forecasting and social Chang, vo170, 2003, No. 1, pp.177-186.

DOI: 10.1016/s0040-1625(01)00191-3

Google Scholar

[6] Lu Wendai. SPSS for Windows From entry to the master. Beijing: Publishing House of Electronics Industry, (1997).

Google Scholar

[7] Li Xiaojian. Empirical Analysis of China's energy consumption and economic growth based on the grey relative correlation degree[J]. 2009, pp.95-98.

Google Scholar