Author(s)

Lianyong Wang, Yifan Yang and Chao Liu

Corresponding Author

Yifan Yang

ABSTRACT

Gases are important iron and steel enterprises secondary energy, while the study on the supply and demand forecasting method of the gas system in Iron and steel enterprises is the basis of achieving scientific scheduling on Gas Resources. It is of very important significance to reduce energy consumption per ton, to reduce gas emission and to improve the economic efficiency of enterprises with an effective means that can accurately predict gas resources and scientific control. The article takes an example for the generation of the blast furnace gas, combined with the historical production process data of an iron and steel enterprises, making a comparative analysis between the model established by causal analysis forecasting method and moving average forecasting method from time series prediction method. The analysis result points out that the prediction by our model can fit the requirement of warning of gas schedule well. Its prediction accuracy is high, and it is more suitable for practical production.

KEYWORDS

Blast furnace gas, causal analysis forecasting method, time series prediction method, the supply and demand forecasting method