The Analysis and Forecasting Model of the Energy Supply and Demand in Jiangxi Province

Yuan Zhuo Wu; Qun Xu; Chun Fu; Lei Liu

doi:10.4028/www.scientific.net/AMM.178-181.225

Paper Titles

Technical and Economic Analysis on Self-Insulation Schemes of 65 Percent Energy Efficiency for Residential Buildings in Hot Summer and Cold Winter Zone
p.209

Analysis of the Traditional Regional Architecture Energy
p.213

The Preliminary Exploration of Building about Natural Draft, Natural Lighting, Renewable Energy Utilize in the Central Plains - Take the Green Demonstration Building of Zhengzhou Energy-Saving and Environmental Protection Industry Incubator Center as an Example
p.217

Research and Discussion on Energy-Saving of Existing Buildings in Northwest of Liaoning Province
p.221

The Analysis and Forecasting Model of the Energy Supply and Demand in Jiangxi Province
p.225

Research on Energy-Saving Rebuilding Technologies for Existing Residential Buildings in South of Jiangsu Province
p.232

The Characteristics of Porous Solar Wall Heating System with Localized UFAD
p.237

Renewable Energy Techniques – A Sustainable Model for Architects Regarding Physical Environment and Economic Empowerment of the Sub Urban and Rural Areas in Bangladesh
p.244

Research on Indoor Environment Pollutants and Controlling
p.251

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 178-181The Analysis and Forecasting Model of the Energy...

The Analysis and Forecasting Model of the Energy Supply and Demand in Jiangxi Province

Abstract:

Abstract: Model which depends on historical data of Jiangxi Province ，grey system and Brown nonlinearity exponential smoothing has been constructed, then the paper uses of MATLAB software integration to calculate parameters, precision testing and result graphical output process to program the forecasting model .By establishing the future energy combination forecasting model of Jiangxi province with the standard deviation method, it can predict the energy gap of Jiangxi Province in following 12 year. The result shows that the whole energy gap will reach 561.206 million tons tce in 2009-2020.

You might also be interested in these eBooks

Sustainable Environment and Transportation

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 178-181)

Pages:

225-231

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.178-181.225

Citation:

Cite this paper

Online since:

May 2012

Authors:

Yuan Zhuo Wu, Qun Xu, Chun Fu, Lei Liu

Keywords:

Combination Forecasting, Energy Consumption (EC), Energy Gap

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Deng Julong. 1987. Basic Method of Gray System. Wuhan: Huazhong Polytechnic University Press (in Chinese).

Google Scholar

[2] Xiao Tingyan. The practical technology and application of forecasting .Wuhan: Huazhong Polytechnic University Press (in Chinese)., (1993)

Google Scholar

[3] Jiangxi Statistical Bureau . Jiangxi Statistical Yearbook. The Statistic Year Book of China, 1986~2009.

Google Scholar

[4] Xue Dingyu, Chen Yangquan. Using MATLAB to Solve Advanced Applied Mathematics Problems. Tsinghua University Press

Google Scholar

[5] Gao Xincai ,Wu Yanpeng..The Construction of Combination Forecasting Model in Chinese Energy Consumption System[J] Statistics and Decision,2009, , （5）：28～29.

Google Scholar

[6] Wang Yongguang, Zhao Guohao.The application of Coal Demand in China Based on the Variable Weight Combination Forecasting Model.2007 Chinese BBS and sustainable development in China's sustainable development conference proceedings(4),(2007)

Google Scholar

[7] Lu Q,Gu P L,Qiu S M. The construction and application of combination forecasting model in Chinese energy consumption system .Systems Engineering-theory & Practice, 2003, (3) :25-31.

Google Scholar