Mathematical Problems in Engineering / 2015 / Article / Tab 2

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 valueBPANNARIMAWT-ARIMAWAFSA-BPANN
ForecastingMAPE (%)ForecastingMAPE (%)ForecastingMAPE (%)ForecastingMAPE (%)

Feb. 10:00
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. 20:00
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. 30:00
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. 40:00
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. 50:00
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. 60:00
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. 70:00
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