Title :
The Simulation Modeling About The Developments of GDP, Population and Primary Energy Consumption in China Based on MATLAB
Author :
Li, Guo-Dong ; Yamaguchi, Daisuke ; Lin, Hui-Shan ; Nagai, Masatake
Author_Institution :
Graduate Sch. of Sci. & Eng., Teikyo Univ., Utsunomiya
Abstract :
In this paper, we proposed a new grey model (GM) to realize the predictions and analyses of GDP structure, population structure and primary energy consumption structure from year 2004 to 2010 based on the data from 1995 to 2003. The improved GM is obtained by the following procedure: first, statistical method of linear regression is integrated into GM to enhance prediction capability. Second, residual error modification with Markov-chain sign estimation further improve the accuracy. By the above procedure, proposed GM is expected to have better prediction performance. We discussed the development relationship between GDP structure, population structure and energy consumption structure in the future. Furthermore, the experiment is realized based on Matlab and we showed the results of Matlab simulation modeling
Keywords :
Markov processes; demography; digital simulation; economic indicators; energy consumption; estimation theory; grey systems; mathematics computing; regression analysis; China; GDP structure; Markov-chain sign estimation; Matlab simulation modeling; grey model; linear regression; population structure; primary energy consumption structure; residual error modification; statistical method; Biomedical engineering; Data engineering; Economic indicators; Energy consumption; History; MATLAB; Mathematical model; Power engineering and energy; Power system modeling; Predictive models; Markov-chain; grey model; grey theory; linear regression; simulation modeling;
Conference_Titel :
Cybernetics and Intelligent Systems, 2006 IEEE Conference on
Conference_Location :
Bangkok
Print_ISBN :
1-4244-0023-6
DOI :
10.1109/ICCIS.2006.252244
