Research and Application of a New Hybrid Forecasting Model Based on Genetic Algorithm Optimization: A Case Study of Shandong Wind Farm in China

Table 3

The forecasting results of EEMD-FAC/SAC model in three sites.

	Time	Actual value (m/s)	EEMD-FAC		EEMD-SAC
			Forecasting value (m/s)	MAPE (%)	Forecasting value (m/s)	MAPE (%)
Observation; site 1	0:00	6.7	6.66	0.66	6.68	0.26
	2:00	8.4	7.70	8.30	7.70	8.38
	4:00	8.5	7.81	8.09	7.80	8.29
	6:00	6.9	7.13	3.29	7.13	3.36
	8:00	6.8	6.74	0.88	6.80	0.07
	10:00	6.9	6.88	0.28	6.83	1.07
	12:00	8.3	7.92	4.55	7.90	4.76
	14:00	10.6	10.61	0.10	10.61	0.13
	16:00	9.6	9.82	2.27	9.83	2.38
	18:00	11.7	11.72	0.17	11.70	0.02
	20:00	10.3	10.60	2.90	10.60	2.95
	22:00	12	9.50	20.83	9.50	20.86
Observation; site 2	0:00	7.3	6.70	8.23	6.70	8.21
	2:00	8.5	8.29	2.47	8.29	2.48
	4:00	8.1	8.00	1.26	7.96	1.76
	6:00	8	8.70	8.81	8.66	8.22
	8:00	7.2	6.58	8.63	6.58	8.58
	10:00	7	7.01	0.18	6.97	0.46
	12:00	8.4	7.86	6.48	7.85	6.51
	14:00	11.6	11.16	3.81	11.13	4.09
	16:00	8.9	9.73	9.30	9.76	9.62
	18:00	10.9	9.71	10.89	9.75	10.58
	20:00	10.6	11.16	5.33	11.18	5.45
	22:00	11.4	12.06	5.80	12.12	6.28
Observation; site 3	0:00	8.3	9.16	10.37	9.19	10.68
	2:00	9.4	9.01	4.16	8.99	4.33
	4:00	9.2	9.29	0.94	9.26	0.66
	6:00	8.1	8.17	0.87	8.17	0.92
	8:00	8.3	8.38	0.93	8.38	0.90
	10:00	7.1	7.88	10.96	7.85	10.54
	12:00	8.8	8.80	0.04	8.79	0.06
	14:00	10.3	9.97	3.24	9.99	2.97
	16:00	10.1	11.00	8.89	10.98	8.71
	18:00	12.2	11.45	6.19	11.44	6.20
	20:00	12.2	11.63	4.63	11.61	4.83
	22:00	11	10.84	1.49	10.80	1.82