Research on Prediction of the Wind Power Installed Capacity in China Based on MV Optimum Combined Model

Dong Xiao Niu; Guan Qing Wang; Hong Juan Li; Hong Yun Zhang

doi:10.4028/www.scientific.net/AMR.512-515.583

Paper Titles

Study on the Energy-Efficient Production of Fuel Ethanol by Cassava Absorbent
p.566

Biohydrogen Production Using Anaerobic Fermentation at Various pH Values
p.570

The Effect of Biomass Contents with Heavy Metal on Gasification Efficiency during Fluidized Bed Gasification Process
p.575

Properties of Slag and Ash from the Incinerator in Biomass Power Plants
p.579

Research on Prediction of the Wind Power Installed Capacity in China Based on MV Optimum Combined Model
p.583

The Energy Consumption and Environmental Impacts of Biomass Power Generation System in China
p.587

Bionic Design Review of Wind Turbine Blades
p.599

Buckling Analysis on Large Wind Turbine Tower
p.604

Design Attack Angle Analysis for Fixed-Pitch Variable-Speed Wind Turbine
p.608

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 512-515Research on Prediction of the Wind Power Installed...

Research on Prediction of the Wind Power Installed Capacity in China Based on MV Optimum Combined Model

Abstract:

In the background of global energy conservation and emission reduction, the wind as the most potential renewable energy for the development has been developed rapidly in multiple countries. In recent years, the wind power generation in China gets fast development supported by many national policies, and accumulative total installed capacity has reached the world's first in 2010. This paper makes the prediction through the gray model, the trend fitting model and MV optimum combined model respectively, and the result shows that the relative accuracy of MV method is higher than the other methods for the prediction of wind generating capacity in China.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 512-515)

Pages:

583-586

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.512-515.583

Citation:

Cite this paper

Online since:

May 2012

Authors:

Dong Xiao Niu, Guan Qing Wang, Hong Juan Li, Hong Yun Zhang

Keywords:

Gray Model, MV Optimum Combined Model, Prediction, Wind Power Installed Capacity

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] China 2030 wind development prospect.

Google Scholar

[2] China's wind power development report 2011.

Google Scholar

[3] Si-feng Liu, Nai-ming Xie and so on. Beijing: Science Press, 2008:95-108. In Chinese.

Google Scholar

[4] Shu Liu, Yan Wang, Feng-ge Hu. Statistics and Decision, 2008(1):9-11.

Google Scholar

[5] Dongxiao Niu, Shuhua Cao, Jianchang Lu, Lei Zhao. Electric power load forecasting technology and its application. Beijing: China Electric Power Press, 2009. In Chinese.

Google Scholar