Research Article
A New Hybrid Model Based on an Intelligent Optimization Algorithm and a Data Denoising Method to Make Wind Speed Predication
Table 4
The forecasting results of August from observation site 1 on a given time interval.
| Date
August | Time (h) | Actual value | BPANN | ARIMA | WT-ARIMA | WAFSA-BPANN | | Forecasting | MAPE (%) | Forecasting | MAPE (%) | Forecasting | MAPE (%) | Forecasting | MAPE (%) |
| | Aug. 1 | 0:00
6:00
12:00
18:00 | 4.8
4.1
2.4
1.7 | 4.539
4.536
2.586
1.751 | 5.448
10.642
7.731
3.013 | 4.595
4.529
2.434
1.566 | 4.263
10.454
1.437
7.872 | 4.403
4.442
2.493
1.510 | 8.263
8.341
3.869
11.184 | 4.639
3.897
2.579
1.838 | 3.356
4.951
7.472
8.139 |
| | Aug. 2 | 0:00
6:00
12:00
18:00 | 3.5
3
2.4
3.3 | 3.865
2.971
2.912
3.421 | 10.423
0.959
21.340
3.669 | 3.787
2.850
2.796
3.323 | 8.201
4.986
16.501
0.702 | 3.775
2.816
2.835
3.302 | 7.845
6.137
18.126
0.049 | 3.848
2.838
2.642
3.352 | 9.951
5.413
10.068
1.585 |
| | Aug. 3 | 0:00
6:00
12:00
18:00 | 2.8
5.1
4.3
2 | 2.853
4.442
3.970
2.168 | 1.900
12.903
7.675
8.380 | 2.816
4.376
3.939
2.060 | 0.583
14.201
8.400
2.978 | 2.682
4.345
3.886
2.087 | 4.230
14.800
9.621
4.344 | 2.875
4.379
3.775
2.383 | 2.676
14.141
12.218
19.144 |
| | Aug. 4 | 0:00
6:00
12:00
18:00 | 2.3
3
3.1
2.8 | 1.925
3.221
2.504
2.912 | 16.306
7.362
19.233
3.999 | 1.740
3.134
2.418
2.858 | 24.338
4.451
22.009
2.064 | 1.743
3.099
2.411
2.815 | 24.214
3.287
22.242
0.521 | 2.298
3.428
3.022
2.661 | 0.088
14.257
2.504
4.980 |
| | Aug. 5 | 0:00
6:00
12:00
18:00 | 1.8
0.8
1.4
4.8 | 1.648
1.581
1.718
4.287 | 8.435
97.609
22.680
10.696 | 1.529
1.474
1.567
4.256 | 15.072
84.254
11.911
11.328 | 1.479
1.398
1.609
4.387 | 17.849
74.703
14.911
8.607 | 1.888
1.514
1.897
4.635 | 4.861
89.304
35.478
3.429 |
| | Aug. 6 | 0:00
6:00
12:00
18:00 | 1.3
3.3
3.9
1.9 | 1.444
3.136
3.719
2.598 | 11.099
4.964
4.651
36.716 | 1.284
3.120
3.689
2.455 | 1.226
5.445
5.399
29.233 | 1.161
3.076
3.600
2.511 | 10.729
6.792
7.684
32.145 | 1.746
3.039
3.472
2.490 | 34.313
7.923
10.980
31.040 |
| | Aug. 7 | 0:00
6:00
12:00
18:00 | 2.6
3.8
4.5
12.1 | 2.796
3.768
4.019
10.417 | 7.526
0.837
10.688
13.907 | 2.764
3.710
3.996
10.259 | 6.291
2.381
11.189
15.216 | 2.782
3.772
3.995
10.559 | 7.007
0.733
11.233
12.733 | 2.787
3.762
3.973
11.377 | 7.203
0.989
11.722
5.975 |
|
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