Research on Energy Consumption Prediction of Steel Industry Production Based on Improved Grey Models
Under the background of double carbon target,the research on energy consumption prediction of steel industry plays an important role in reducing production efficiency and improving efficiency of steel industry.In order to scientifically predict the energy consumption of steel industry production,based on the data of iron and steel energy consumption from 2010 to 2022,three improved grey prediction models of DNGM(1,1),IDGM(1,1)and DDGM(1,1)were established to predict the comprehensive energy consumption per ton of steel and the comparable energy consumption per ton of steel.The data prediction and error comparison analysis were carried out to select the optimal model and obtain the prediction results from 2023 to 2025.The results show that the grey prediction model is feasible and adaptable in the prediction of steel energy consumption.The DNGM(1,1)model has the best overall simulation performance in the prediction of energy consumption in steel industry production.The comprehensive energy consumption per ton of steel and the comparable energy consumption per ton of steel will continue to decline from 2023 to 2025.
steel industrycomprehensive energy consumption per ton steelcomparable energy consumption per ton steelgrey prediction modelimproved grey model
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