Construction of prediction intervals for gas flow systems in steel industry based on granular computing

Understanding the future flow variation of byproduct gas is very crucial for energy scheduling in steel industry. An accurate prediction of the tendencies is significantly beneficial for raising the economic profits of steel enterprise. Given that most existing techniques focus on short term or numeric prediction that can hardly meet the practical requirements on the predicting horizon, the guidance effect of the results imposing on energy...