Study on the early warning of coal resources based on PCA-AR methods

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.