期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：227
期号：4
页码：042008
DOI：10.1088/1755-1315/227/4/042008
出版社：IOP Publishing
摘要：The self-provided power plants are the main buffer customers for iron and steel industry. They have great effect on reducing gas emission and improving enterprise efficiency. The ARMA and ARMA–ARCH models are used to short-term forecast respectively based on sampling data, in order to master the varying trend of gas supply in iron and steel enterprises of self-provided power plants. The actual comparison and application results indicate that the ARMA-ARCH model has a well-pleasing forecast performance with a Mean Abs. Percent Error (MAPE) of 3.32%, plays an important role in adjusting boiler switches frequently and optimal scheduling in actual production.
