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Application of Grey System GM (1,1) model and unary linear regression model in coal consumption of Jilin Province
  • 分类:TP13[自动化与计算机技术—控制科学与工程;自动化与计算机技术—控制理论与控制工程] F426.21[经济管理—产业经济]
  • 作者机构:[1]College of Earth Sciences, Jilin University, Changchun 130061, China
  • 相关基金:Supported by project of National Natural Science Foundation of China (No. 41272360)
中文摘要:

The data on the coal production and consumption in Jilin Province for the last ten years were collected,and the Grey System GM( 1,1) model and unary linear regression model were applied to predict the coal consumption of Jilin Production in 2014 and 2015. Through calculation,the predictive value on the coal consumption of Jilin Province was attained,namely consumption of 2014 is 114. 84 × 106 t and of 2015 is 117. 98 ×106t,respectively. Analysis of error data indicated that the predicted accuracy of Grey System GM( 1,1) model on the coal consumption in Jilin Province improved 0. 21% in comparison to unary linear regression model.

英文摘要:

The data on the coal production and consumption in Jilin Province for the last ten years were collect- ed, and the Grey System GM ( 1,1 ) model and unary linear regression model were applied to predict the coal consumption of Jilin Production in 2014 and 2015. Through calculation, the predictive value on the coal con- sumption of Jilin Province was attained, namely consumption of 2014 is 114.84 ×10^6 t and of 2015 is 117.98 × 10^6 t, respectively. Analysis of error data indicated that the predicted accuracy of Grey System GM ( 1,1 ) model on the coal consumption in Jilin Province improved 0.21% in comparison to unary linear regression model.

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