| Issue |
E3S Web Conf.
Volume 257, 2021
5th International Workshop on Advances in Energy Science and Environment Engineering (AESEE 2021)
|
|
|---|---|---|
| Article Number | 02008 | |
| Number of page(s) | 5 | |
| Section | Research on Energy Consumption and Energy Industry Benefit | |
| DOI | https://doi.org/10.1051/e3sconf/202125702008 | |
| Published online | 12 May 2021 | |
Research on Coal Price Forecast based on ARIMA and SVM combination Model
1
School of Finance, Anhui University of Finance and Economics, Bengbu Anhui, China;
2
School of Finance, Anhui University of Finance and Economics, Bengbu Anhui, China.
3
School of Finance, Anhui University of Finance and Economics, Bengbu Anhui, China;
a* e-mail: 750449633@qq.com
b e-mail: 1499738626@qq.com
c e-mail: 1934209768@qq.com
China is the largest producer and consumer of coal in the world. Qinhuangdao Port is not only the largest coal export port in the world, but also an important coal transportation hub in China. The study of the change of coal price in Qinhuangdao Port is of great significance to the study of the change of coal price in the whole country. In this paper, in order to avoid the large prediction error of a single prediction model, an ARIMA-SVM parallel combination model is constructed, and the appropriate weight ratio of ARIMA and SVM model is obtained by calculation, so as to obtain more reliable prediction results. The results show that the international competitiveness of the domestic coal market is insufficient, the coal trading system is incomplete and depends too much on coal resources. For this reason, the government should promote the adjustment of energy structure, improve the mode of transportation, actively improve the coal futures trading system, and realize the upgrading of coal industry.
© The Authors, published by EDP Sciences, 2021
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