Forecasting of gas supply in self-provided power plant of iron and steel enterprises based on time series
Abstract
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.
- Publication:
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IOP Conference Series: Earth and Environmental Science
- Pub Date:
- February 2019
- DOI:
- 10.1088/1755-1315/227/4/042008
- Bibcode:
- 2019E&ES..227d2008M