Title :
Study on the early warning of coal resources based on PCA-AR methods
Author :
He, Yonggui ; Ti, Yunqiao ; Niu, Shengnan
Author_Institution :
Coll. of Bus. Adm., North China Electr. Power Univ., Baoding, China
fDate :
June 29 2010-July 1 2010
Abstract :
The energy crisis has spread worldwide, and it has resulted in various losses to China which is a big energy consumption country. Therefore, the energy warning model has been given a vital significance. This paper establishes a index system of coal warning model, and constructs the early warning model of coal resources with the principal component analysis and regression method, and then predicts the safety of coal resources of China in 2010, which will help our country to change strategy to ensure the energy security economic development.
Keywords :
autoregressive processes; coal; natural resources; principal component analysis; regression analysis; PCA-AR method; autoregressive method; coal resource; coal warning model; early warning model; energy security economic development; principal component analysis; regression method; Biological system modeling; Indexes; autoregressive model; coal resources; early warning; principal component analysis;
Conference_Titel :
Communication Systems, Networks and Applications (ICCSNA), 2010 Second International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7475-2
DOI :
10.1109/ICCSNA.2010.5588829
