Optimal Parameter Selection for Support Vector Machine Based on Artificial Bee Colony Algorithm: A Case Study of Grid-Connected PV System Power Prediction

Table 2

Comparisons of the three models about forecast accuracy using output power data of August 30 and 31.

Number	EMD-ABC-SVM (%)	EMD-SVM (%)	SVM (%)
1	1.893	−3.873	10.729
2	2.725	−4.746	12.530
3	−0.518	3.921	−9.442
4	−2.636	5.385	−12.277
5	1.755	−4.077	8.363
6	2.919	4.933	9.595
7	1.697	4.642	−12.710
8	−1.478	−3.977	9.881
9	0.834	−4.796	10.379
10	−2.607	−2.772	8.662
11	−1.739	3.340	6.633
12	1.985	−2.925	7.853
13	1.194	4.867	4.548
14	−0.851	3.474	−7.795
15	1.795	−3.946	−3.821
16	0.946	−4.376	−8.750
17	0.859	5.691	7.903
18	1.877	2.691	8.834
19	1.258	−4.973	−4.879
20	1.689	−3.462	−6.233
21	−1.110	2.850	−4.127
22	−1.350	−2.859	−3.259
23	1.332	3.954	3.681
24	−1.230	−2.817	−3.544
25	−1.946	3.439	5.839
26	−0.829	−2.299	2.900
27	0.723	4.141	4.082
28	1.678	3.077	−3.042
29	0.497	−2.455	−1.079
30	1.893	−3.873	10.729
31	−2.165	−3.108	−6.915
32	−0.968	1.722	−6.458
33	2.328	4.912	5.256
34	−1.254	−3.659	−8.383
35	−1.974	2.644	7.970
36	0.937	−4.550	−7.637
37	−2.799	3.956	9.768
38	2.594	4.962	11.800
39	1.870	−4.746	4.138
40	2.369	4.870	10.324
41	−1.401	5.536	−9.013
42	−2.842	−4.651	−11.955
43	2.074	5.810	−8.320
44	2.991	3.880	11.157
45	−0.660	−5.452	12.081
46	1.322	−3.001	−8.557
47	−1.917	−4.930	−12.766
48	−2.434	4.487	−11.730
49	2.301	3.256	−7.906
50	−2.741	4.900	9.771
51	−2.597	−1.815	−12.205
52	−3.446	3.341	−11.868
53	−1.249	−4.409	−5.201
54	2.326	−1.894	11.712
55	1.346	−4.745	8.824
56	−1.758	4.800	−10.306
57	−1.689	−4.823	8.495
58	1.108	−3.103	−6.769
59	−1.828	−4.050	5.740
60	1.744	−3.524	5.535
61	1.893	−4.150	5.723
62	−1.206	3.507	−7.180
63	−0.953	4.906	5.270
64	−1.805	5.296	−5.260
65	1.549	4.967	−6.754
66	−1.636	−3.828	5.328
67	1.346	3.154	−5.882
68	−1.614	−3.790	−7.437
69	1.753	2.116	5.213
70	−0.945	−2.076	7.558
71	−0.969	−3.859	5.712
72	1.859	4.166	−8.065
73	1.816	3.950	−6.715
74	−1.920	4.693	−4.474
75	0.821	−4.477	−7.649
76	−1.229	3.606	3.662
77	−1.754	−2.940	−6.879
78	0.605	−4.019	−7.967
79	1.948	3.249	−5.795
80	−0.827	3.661	−3.358
81	1.987	4.782	−9.306
82	−1.515	3.029	6.557
83	−2.804	4.987	12.512
84	1.406	−4.533	−8.073
85	3.059	2.732	−12.86
86	2.807	−4.719	9.852
87	1.865	4.598	10.621
88	−3.470	2.945	−7.167