基于改进灰色模型的钢铁工业生产能耗预测研究
邓高,李琪

Research on Energy Consumption Prediction of Steel Industry Production Based on Improved Grey Models
Gao DENG,Qi LI
表5 吨钢可比能耗灰色预测结果
Table 5 Grey prediction results of comparable energy consumption per ton of steel(tce/t)
年份吨钢可比能耗DNGM(1,1)IDGM(1,1)DDGM(1,1)
模拟数据/预测数据残差相对误差/%模拟数据/预测数据残差相对误差/%模拟数据/预测数据残差相对误差/%
平均相对模拟误差/%0.73691.30761.0187
2010550550.000.000.00550.000.000.00550.000.000.00
2011546551.935.931.09546.000.000.00544.81-1.190.22
2012545545.940.940.17535.13-9.871.81539.64-5.360.98
2013543539.88-3.120.58529.79-13.212.43534.49-8.511.57
2014539533.76-5.240.97524.50-14.502.69529.36-9.641.79
2015532527.58-4.420.83519.28-12.722.39524.25-7.751.46
2016525521.34-3.660.70514.11-10.892.08519.16-5.841.11
2017513515.042.040.40509.00-4.010.78514.091.090.21
2018505508.683.680.73503.94-1.060.21509.044.040.80
2019497502.265.261.06498.941.940.39504.027.021.41
2020493495.772.770.56494.001.000.20499.016.011.22
2021487489.222.220.46489.112.110.43494.027.021.44
2022489482.60-6.401.31484.27-4.7270.97489.050.050.01
2023-475.92--479.49--484.10--
2024-469.17--474.76--479.18--
2025-462.35--470.09--474.27--