Analysis of coal price forecasting based on time series algorithm

Yao Zhao; Juanjuan Gu; Wenwen Xu; MingHang Yuan

doi:10.1117/12.2660279

22 November 2022 Analysis of coal price forecasting based on time series algorithm

Yao Zhao, Juanjuan Gu, Wenwen Xu, MingHang Yuan

Proceedings Volume 12475, Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022); 124751Z (2022) https://doi.org/10.1117/12.2660279
Event: Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022), 2022, Hulun Buir, China

Abstract

As a basic source of energy in China, the rise in the price of coal has a bearing on the development of the Chinese economy. In view of the influencing factors of thermal coal price, the prophet algorithm and long term memory algorithm are proposed to predict the price of thermal coal. Based on the characteristics and principles of these two algorithms, and according to the characteristics of thermal coal, the parameters suitable for the experimental object are selected. Through the prediction of the historical data by using these two algorithms, analyzing and comparing the error of the prediction results with the actual value. Following this, a time series algorithm more suitable for thermal coal is obtained.

Citation Download Citation

Yao Zhao, Juanjuan Gu, Wenwen Xu, and MingHang Yuan "Analysis of coal price forecasting based on time series algorithm", Proc. SPIE 12475, Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022), 124751Z (22 November 2022); https://doi.org/10.1117/12.2660279

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available