Forecasting the Energy Consumption of China by the Grey Prediction Model

被引:49
作者
Feng, S. J. [1 ]
Ma, Y. D. [2 ]
Song, Z. L.
Ying, J. [3 ]
机构
[1] Liaoning Tech Univ, Sch Resource & Environm Engn, Coll Environm Sci & Engn, Fuxin 123000, Liaoning, Peoples R China
[2] Dalian Jiaotong Univ, Coll Civil Engn & Safety Engn, Dalian, Liaoning, Peoples R China
[3] Northeastern Univ, Ctr Mol Sci & Engn, Shenyang, Liaoning, Peoples R China
关键词
China; energy consumption; forecasting; GM(1,1) model; grey theory; ELECTRICITY; REGRESSION;
D O I
10.1080/15567240903330426
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Energy consumption has important significance for every country in the world. To successfully predict the future energy consumption by a mathematical method is very important for relevant scientific study. In this article, China, the rising power of the world and one of the biggest energy consumption countries, is significantly taken as the research target for grey theory prediction. According to the actual energy consumption statistics of China from 1998 to 2006, this article established the grey model GM(1,1) for the total energy, coal energy and clean energy consumption of China, respectively, with a corresponding precision check-up thereafter. The results show the three prediction models are all in the first precision level, which is suitable for simulating and forecasting the original data sequences of the energy consumption characterized by grey type. By comparing the results of the three models, all three energy consumption types are in the trending upward, but clean energy consumption is especially getting the upper hand.
引用
收藏
页码:376 / 389
页数:14
相关论文
共 35 条
[1]   A REGRESSION-MODEL FOR ELECTRIC-ENERGY-CONSUMPTION FORECASTING IN EASTERN SAUDI-ARABIA [J].
ALGARNI, AZ ;
ZUBAIR, SM ;
NIZAMI, JS .
ENERGY, 1994, 19 (10) :1043-1049
[2]  
[Anonymous], 2007, CHINA STAT YB
[3]   RESIDENTIAL ENERGY DEMAND MODELING IN DEVELOPING REGIONS - THE USE OF MULTIVARIATE STATISTICAL TECHNIQUES [J].
ASSIMAKOPOULOS, V .
ENERGY ECONOMICS, 1992, 14 (01) :57-63
[4]  
Chavez SG, 1999, ENERGY, V24, P183, DOI 10.1016/S0360-5442(98)00099-1
[5]  
Chen H. S., 1998, J GREY SYSTEM, V1, P141
[6]   A statistical method to investigate national energy consumption in the residential building sector of China [J].
Chen, Shuqin ;
Li, Nianping ;
Guan, Jun ;
Xie, Yanqun ;
Sun, Fengmei ;
Ni, Ji .
ENERGY AND BUILDINGS, 2008, 40 (04) :654-665
[7]  
Deng J. L, 1997, GREY SYSTEM CONTROL
[8]   CONTROL-PROBLEMS OF GREY SYSTEMS [J].
DENG, JL .
SYSTEMS & CONTROL LETTERS, 1982, 1 (05) :288-294
[9]  
Deng JL., 2002, Grey Theory
[10]   SIMULATION-MODEL OF HOUSEHOLD FUEL USES [J].
HIRST, E ;
LIN, W ;
COPE, J .
APPLIED MATHEMATICAL MODELLING, 1977, 1 (04) :177-180