Research Article

A New Hybrid Model Based on an Intelligent Optimization Algorithm and a Data Denoising Method to Make Wind Speed Predication

Table 3

The forecasting results of June from observation site 1 on a given time interval.

Date
June
Time (h)Actual valueBPANNARIMAWT-ARIMAWAFSA-BPANN
ForecastingMAPE (%)ForecastingMAPE (%)ForecastingMAPE (%)ForecastingMAPE (%)

June. 10:00
6:00
12:00
18:00
2.9
3.7
2.6
1.8
4.423
2.748
3.235
2.309
52.508
25.728
24.425
28.265
4.293
2.653
3.144
2.138
48.044
28.287
20.929
18.759
3.292
2.540
3.126
2.078
13.530
31.358
20.230
15.423
3.529
3.387
2.991
2.151
21.693
8.449
15.027
19.499

June. 20:00
6:00
12:00
18:00
1.6
0.7
6.1
9.5
1.690
1.389
6.150
9.949
5.632
98.435
0.817
4.728
1.464
1.091
6.133
9.949
8.529
55.881
0.537
4.726
1.385
1.105
6.247
10.032
13.407
57.881
2.403
5.595
1.730
1.543
6.261
9.857
8.116
120.427
2.636
3.758

June. 30:00
6:00
12:00
18:00
10.8
12
8.9
2.4
10.788
12.724
9.151
1.813
0.112
6.034
2.815
24.455
10.685
12.742
9.332
1.785
1.063
6.183
4.859
25.627
10.748
12.790
9.199
1.631
0.481
6.581
3.357
32.040
10.982
12.276
9.304
2.172
1.684
2.300
4.542
9.482

June. 40:00
6:00
12:00
18:00
2.4
1.9
2.9
5.4
2.376
2.143
3.028
4.435
0.983
12.795
4.404
17.873
2.200
1.901
2.844
4.395
8.338
0.049
1.943
18.611
2.207
1.900
2.915
4.410
8.022
0.024
0.504
18.337
2.340
1.922
2.872
4.398
2.509
1.150
0.970
18.551

June. 50:00
6:00
12:00
18:00
8
1.3
2.2
5.9
7.444
1.570
2.652
5.879
6.956
20.753
20.543
0.351
7.369
1.400
2.482
5.781
7.886
7.701
12.801
2.015
7.566
1.269
2.487
5.895
5.429
2.365
13.066
0.081
7.321
1.763
2.665
5.704
8.491
35.644
21.118
3.321

June. 60:00
6:00
12:00
18:00
7.8
8.3
9.5
14.2
7.861
8.286
8.627
12.340
0.776
0.167
9.190
13.098
7.841
8.312
8.635
12.331
0.525
0.150
9.106
13.165
7.884
8.277
8.702
12.412
1.081
0.283
8.398
12.593
8.072
8.431
9.268
12.911
3.482
1.581
2.443
9.078

June. 70:00
6:00
12:00
18:00
11.4
7
7.3
10.3
10.582
6.839
6.744
10.616
7.179
2.302
7.614
3.068
10.742
6.859
6.845
10.546
5.775
2.014
6.235
2.388
10.578
6.914
6.794
10.748
7.214
1.229
6.938
4.348
11.174
6.988
7.374
10.445
1.982
0.175
1.013
1.404