Computational Intelligence and Neuroscience / 2017 / Article / Tab 1 / Research Article
Optimal Parameter Selection for Support Vector Machine Based on Artificial Bee Colony Algorithm: A Case Study of Grid-Connected PV System Power Prediction Table 1 Comparisons of predicted results using three models about output power data of August 30 and 31.
Number Observed value (kW) EMD-ABC-SVM (kW) EMD-SVM (kW) SVM (kW) 1 0.0683 0.0696 0.0657 0.0757 2 0.1382 0.1420 0.1317 0.1555 3 0.6275 0.6243 0.6521 0.5683 4 1.3239 1.2890 1.3952 1.1614 5 1.8403 1.8726 1.7653 1.9942 6 2.4590 2.5307 2.5803 2.6949 7 3.0621 3.1141 3.2043 2.6729 8 3.5830 3.5301 3.4405 3.9371 9 4.1412 4.1757 3.9426 4.5710 10 4.1223 4.0149 4.0081 4.4794 11 4.5165 4.4380 4.6674 4.8161 12 4.9385 5.0365 4.7940 5.3263 13 5.7823 5.8514 6.0638 6.0453 14 6.1282 6.0760 6.3411 5.6505 15 5.9762 6.0834 5.7404 5.7478 16 7.0898 7.1569 6.7795 6.4695 17 6.8198 6.8784 7.2080 7.3588 18 6.8953 7.0247 7.0808 7.5045 19 7.0273 7.1157 6.6779 6.6845 20 7.3684 7.4928 7.1133 6.9091 21 7.1951 7.1152 7.4001 6.8981 22 7.4464 7.3458 7.2335 7.2037 23 7.5219 7.6221 7.8194 7.7988 24 7.3848 7.2940 7.1768 7.1231 25 7.1722 7.0326 7.4188 7.5909 26 7.1411 7.0819 6.9770 7.3482 27 6.9242 6.9742 7.2109 7.2068 28 6.6868 6.7990 6.8926 6.4834 29 6.6450 6.6780 6.4818 6.5732 30 6.7188 6.5734 6.5100 6.2542 31 6.2262 6.1659 6.3334 5.8241 32 5.8366 5.9725 6.1233 6.1434 33 5.8367 5.7635 5.6231 5.3474 34 5.2529 5.1492 5.3918 5.6716 35 4.8899 4.9357 4.6674 4.5165 36 4.5304 4.4036 4.7096 4.9729 37 4.0192 4.1235 4.2186 4.4935 38 3.4722 3.5371 3.3074 3.6159 39 3.0201 3.0917 3.1672 3.3319 40 2.5275 2.4921 2.6674 2.2997 41 1.9505 1.8951 1.8598 1.7173 42 1.3713 1.3998 1.4510 1.2572 43 0.8438 0.8691 0.8766 0.9380 44 0.2911 0.2892 0.2753 0.3263 45 0.0710 0.0719 0.0689 0.0649 46 0.1209 0.1186 0.1150 0.1055 47 0.4057 0.3958 0.4239 0.3581 48 0.9364 0.9579 0.9669 0.8624 49 1.4869 1.4462 1.5598 1.6322 50 2.0503 1.9971 2.0131 1.8001 51 2.5964 2.5070 2.6832 2.2883 52 3.0432 3.0052 2.9090 2.8849 53 3.5690 3.6520 3.5014 3.9870 54 4.1105 4.1658 3.9154 4.4732 55 4.5235 4.4440 4.7406 4.0573 56 4.9307 4.8474 4.6929 5.3496 57 5.3317 5.3907 5.1662 4.9708 58 5.5464 5.4451 5.3218 5.8648 59 5.8247 5.9263 5.6195 6.1471 60 6.0815 6.1966 5.8291 6.4295 61 6.2005 6.1257 6.4180 5.7553 62 6.4994 6.4375 6.8183 6.8420 63 6.3893 6.2739 6.7277 6.0532 64 6.5374 6.6386 6.8621 6.0958 65 7.2982 7.1788 7.0188 7.6870 66 7.1500 7.2463 7.3755 6.7295 67 7.1444 7.0291 6.8737 6.6131 68 7.1668 7.2924 7.3184 7.5403 69 7.1329 7.0655 6.9848 7.6720 70 6.9410 6.8737 6.6731 7.3374 71 6.8850 7.0130 7.1719 6.3297 72 6.6407 6.7612 6.9030 6.1948 73 6.3970 6.2742 6.6972 6.1108 74 6.1954 6.2463 5.9181 5.7215 75 5.8939 5.8214 6.1064 6.1097 76 5.6886 5.5888 5.5214 5.2973 77 5.2085 5.2400 4.9992 4.7936 78 4.7334 4.8256 4.8872 4.4592 79 4.3456 4.3096 4.5047 4.1997 80 3.7633 3.8380 3.9432 3.4130 81 3.3305 3.2800 3.4314 3.5489 82 2.8878 2.8068 3.0318 3.2491 83 2.3862 2.4197 2.2780 2.1935 84 1.8173 1.8728 1.8669 1.5836 85 1.3833 1.4221 1.3180 1.5195 86 0.9191 0.9363 0.9614 1.0168 87 0.4481 0.4326 0.4613 0.4160 88 0.1267 0.1237 0.1320 0.1121