Research Article
Short-Term Load Forecasting Based on Wavelet Transform and Least Squares Support Vector Machine Optimized by Fruit Fly Optimization Algorithm
Table 3
Actual load and forecasting results.
| Time/h | Actual value/MW | WT-FOA-LSSVM | WT-LSSVM | FOA-LSSVM | PSO-LSSVM | LSSVM | BPNN |
| 1:00 | 802 | 794.57 | 794.48 | 811.09 | 817.87 | 813.47 | 811.50 | 2:00 | 789.71 | 786.76 | 787.26 | 796.86 | 804.78 | 798.72 | 800.40 | 3:00 | 786.59 | 778.32 | 778.41 | 790.53 | 764.12 | 792.73 | 785.70 | 4:00 | 786.82 | 782.07 | 781.90 | 791.48 | 768.02 | 792.93 | 782.74 | 5:00 | 784.16 | 783.38 | 783.36 | 784.04 | 795.92 | 796.98 | 801.99 | 6:00 | 785.28 | 792.11 | 791.62 | 798.36 | 773.31 | 799.73 | 790.22 | 7:00 | 787.18 | 807.72 | 811.68 | 803.65 | 798.63 | 810.33 | 811.39 | 8:00 | 801.29 | 819.94 | 819.71 | 826.31 | 816.22 | 830.52 | 817.20 | 9:00 | 801.71 | 816.90 | 816.87 | 819.94 | 804.59 | 822.10 | 812.74 | 10:00 | 826.78 | 824.57 | 824.37 | 839.52 | 819.02 | 842.58 | 838.74 | 11:00 | 834.31 | 845.44 | 844.48 | 854.89 | 828.72 | 857.19 | 850.32 | 12:00 | 858.62 | 862.27 | 862.07 | 875.15 | 849.75 | 874.93 | 873.86 | 13:00 | 852.87 | 844.17 | 844.70 | 859.51 | 854.92 | 871.70 | 880.61 | 14:00 | 813.21 | 819.19 | 819.59 | 831.13 | 825.04 | 829.22 | 830.73 | 15:00 | 818.59 | 820.88 | 820.84 | 827.56 | 827.45 | 828.01 | 825.97 | 16:00 | 839.14 | 837.15 | 836.17 | 847.18 | 848.92 | 849.39 | 853.78 | 17:00 | 853.36 | 859.53 | 858.90 | 854.69 | 861.14 | 868.99 | 878.91 | 18:00 | 877.21 | 869.92 | 869.73 | 887.87 | 862.37 | 889.47 | 899.97 | 19:00 | 899.76 | 872.85 | 872.72 | 898.40 | 927.42 | 900.42 | 902.82 | 20:00 | 869.36 | 883.01 | 882.77 | 881.83 | 868.06 | 888.95 | 877.78 | 21:00 | 886.74 | 903.93 | 903.35 | 903.41 | 893.90 | 917.73 | 897.03 | 22:00 | 887.77 | 890.44 | 890.68 | 915.67 | 889.76 | 919.97 | 925.14 | 23:00 | 873.6 | 854.58 | 847.88 | 882.64 | 896.88 | 884.27 | 866.82 | 24:00 | 834.67 | 834.29 | 834.34 | 836.32 | 856.53 | 839.34 | 846.50 |
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