Title :
Research on carbon emission predictiona in Jiangsu Province based on an improved GM (1,1) model
Author :
Wang Zi ; Dang Yaoguo
Author_Institution :
Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
Thisstudy selectsthe data of Jiangsu Province based on carbon emissions from 2001 to 2010. By adopting the new prediction method of the GM (1,1) model that regards the linear combination of original data as the initial conditions, the carbon emission of Jiangsu Province in the next few years has been predicted. The results show that the new GM (1,1) model´ssimulation precisioncompared to the traditional GM (1,1), and other improved GM (1,1) modelsis higher. Therefore, the new model to predict the Jiangsu Province´s carbon emission contributes to achieving carbon reduction targets for 2020, which can be more effective for the government to provide data support and suggestions.
Keywords :
air pollution control; grey systems; GM (1,1) model; Jiangsu Province; carbon emission prediction; carbon reduction targets; grey system theory; Analytical models; Carbon dioxide; Coal; Data models; Mathematical model; Predictive models; Time factors; 1); Carbon emissions; GM (1; Grey prediction;
Conference_Titel :
Grey Systems and Intelligent Services, 2013 IEEE International Conference on
Conference_Location :
Macao
Print_ISBN :
978-1-4673-5247-5
DOI :
10.1109/GSIS.2013.6714753