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

Volume

2

fYear

2010

fDate

June 29 2010-July 1 2010

Firstpage

363

Lastpage

366

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Systems, Networks and Applications (ICCSNA), 2010 Second International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-7475-2

Type

conf

DOI

10.1109/ICCSNA.2010.5588829

Filename

5588829