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Table 5

The actual and detailed prediction values of each prediction method

YearActual value (108 m3)Proposed approach (108 m3)ARMA (108 m3)SVM (108 m3)LSSVM (108 m3)BP neural network (108 m3)Elman neural network (108 m3)
2013 90.68 91.0591 88.8073 89.9662 89.3185 89.2297 91.7798 
2014 91.27 91.6285 90.5384 92.710 89.8733 91.0495 90.8673 
2015 92.25 92.7386 93.4308 91.2480 92.2193 92.0541 92.7475 
2016 92.67 93.0552 93.6887 91.9533 93.2091 93.2284 91.5229 
2017 93.36 92.6590 93.3535 94.8312 92.8812 93.6670 92.4210 
2018 92.28 92.7423 91.3004 92.2991 92.8772 93.6873 93.8416 
YearActual value (108 m3)Proposed approach (108 m3)ARMA (108 m3)SVM (108 m3)LSSVM (108 m3)BP neural network (108 m3)Elman neural network (108 m3)
2013 90.68 91.0591 88.8073 89.9662 89.3185 89.2297 91.7798 
2014 91.27 91.6285 90.5384 92.710 89.8733 91.0495 90.8673 
2015 92.25 92.7386 93.4308 91.2480 92.2193 92.0541 92.7475 
2016 92.67 93.0552 93.6887 91.9533 93.2091 93.2284 91.5229 
2017 93.36 92.6590 93.3535 94.8312 92.8812 93.6670 92.4210 
2018 92.28 92.7423 91.3004 92.2991 92.8772 93.6873 93.8416 
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