Research Article
A New Hybrid Model Based on an Intelligent Optimization Algorithm and a Data Denoising Method to Make Wind Speed Predication
Table 2
The forecasting results of February from observation site 1 on a given time interval.
| Date
February | Time (h) | Actual value | BPANN | ARIMA | WT-ARIMA | WAFSA-BPANN | | Forecasting | MAPE (%) | Forecasting | MAPE (%) | Forecasting | MAPE (%) | Forecasting | MAPE (%) |
| | Feb. 1 | 0:00
6:00
12:00
18:00 | 7.9
7.4
3.1
4.4 | 7.025
7.082
3.123
4.385 | 11.071
4.292
0.743
0.339 | 7.080
7.085
3.014
4.287 | 10.378
4.253
2.782
2.571 | 7.759
7.140
2.981
4.268 | 1.779
3.513
3.832
3.003 | 7.681
7.171
3.158
4.404 | 2.778
3.094
1.880
0.102 |
| | Feb. 2 | 0:00
6:00
12:00
18:00 | 5
4.7
2.8
8.2 | 4.619
4.877
2.825
7.712 | 7.614
3.760
0.899
5.946 | 4.320
4.789
2.492
7.623 | 13.609
1.900
10.995
7.033 | 4.500
4.767
2.570
7.859 | 9.998
1.429
8.218
4.158 | 4.370
4.844
2.823
7.859 | 12.597
3.069
0.838
4.153 |
| | Feb. 3 | 0:00
6:00
12:00
18:00 | 8.3
8.4
4.6
5.4 | 8.179
8.388
5.234
5.167 | 1.461
0.146
13.778
4.314 | 8.180
8.253
5.172
5.139 | 1.443
1.746
12.440
4.829 | 8.221
8.442
5.239
5.107 | 0.947
0.505
13.895
5.431 | 8.478
8.520
5.224
5.375 | 2.150
1.428
13.568
0.469 |
| | Feb. 4 | 0:00
6:00
12:00
18:00 | 3
4.7
5.6
5.6 | 3.048
4.553
5.046
5.650 | 1.616
3.126
9.896
0.888 | 2.948
4.692
4.412
5.596 | 1.728
0.165
21.211
0.079 | 2.867
4.383
4.785
5.583 | 4.435
6.750
14.558
0.304 | 3.056
4.831
4.639
5.519 | 1.869
2.783
17.166
1.452 |
| | Feb. 5 | 0:00
6:00
12:00
18:00 | 6
3
6.3
7.5 | 6.075
3.325
6.925
8.285 | 1.255
10.835
9.914
10.467 | 6.073
3.256
6.936
8.300 | 1.214
8.517
10.096
10.672 | 5.960
3.176
6.875
8.118 | 0.669
5.874
9.130
8.236 | 6.196
3.274
6.701
8.306 | 3.264
9.138
6.360
10.742 |
| | Feb. 6 | 0:00
6:00
12:00
18:00 | 15
9.4
8.6
6.5 | 13.412
9.374
9.010
6.402 | 10.590
0.274
4.771
1.502 | 13.409
9.309
8.956
6.300 | 10.606
0.965
4.136
3.073 | 13.222
9.445
9.058
6.421 | 11.850
0.475
5.323
1.214 | 14.511
9.136
8.938
6.601 | 3.263
2.809
3.933
1.556 |
| | Feb. 7 | 0:00
6:00
12:00
18:00 | 4.6
3.4
8.7
7.9 | 4.679
3.716
10.145
8.217 | 1.721
9.308
16.614
4.010 | 4.659
3.488
10.084
8.219 | 1.278
2.591
15.904
4.044 | 4.601
3.610
10.176
7.995 | 0.023
6.177
16.970
1.196 | 4.502
3.556
9.207
8.179 | 2.135
4.583
5.830
3.535 |
|
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