Title :
The analysis and prediction of grey correlation analysis of China´s total energy consumption with the gross carbon dioxide emission and the trend prediction
Author :
Aiwen, Zhao ; Dong, Li
Author_Institution :
Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
It is well known that the national demand for energy has soared considerably in China with its rapid economic growth, which, however, results in increasing emission of carbon dioxide accordingly. This article attempts to obtain the grey correlation degree between total energy consumption and gross carbon dioxide emission together with the prediction of them.
Keywords :
correlation methods; power consumption; power system economics; China; grey correlation analysis; gross carbon dioxide emission; rapid economic growth; total energy consumption; trend prediction; Silicon; carbon dioxide emission; energy consumption; grey correlation analysis; prediction;
Conference_Titel :
Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7387-8
DOI :
10.1109/ESIAT.2010.5568279