A Study on Forecasting Coal Demand Based on BP Neural Network

Author

Hu, Xue-mian ; Zhao, Guo-hao ; Zhao, Jun

Author_Institution

Sch. of Manage. Sci. & Eng., Shanxi Univ. of Finance & Econ., Taiyuan

fYear

2008

fDate

12-14 Oct. 2008

Firstpage

1

Lastpage

5

Abstract

Coal is a key of basic energy in China, and it supports the rapid development of the national economy. In the coming period, coal will also play the very important role in base energy. Therefore, the prediction of coal demand is particularly important in future. In this paper, the double hidden layers BP neural network is established and simulated based on Matlab technology. After testing actual data, the coal demand for next five years is forecasted with the methods. And also some conclusion are made in the paper.

Keywords

backpropagation; coal; demand forecasting; fuel processing industries; mathematics computing; neural nets; Chinese national economy development; Matlab technology; backpropagation; coal demand forecasting; coal industry; double hidden layer BP neural network; Demand forecasting; Economic forecasting; Economic indicators; Energy consumption; Fuel processing industries; Investments; Mining industry; Neural networks; Power generation economics; Production;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4244-2107-7

Electronic_ISBN

978-1-4244-2108-4

Type

conf

DOI

10.1109/WiCom.2008.1924

Filename

4680113