Short-Term Wind Speed Forecasting Using Decomposition-Based Neural Networks Combining Abnormal Detection Method

Table 2

Performance comparison according to data collected from different seasons and from different stations.

Category	HEN1			HEN2			NAR			53H-NAR			EEMD-NAR			Persist			ARIMA
	RMSE	MAE	MAPE	RMSE	MAE	MAPE	RMSE	MAE	MAPE	RMSE	MAE	MAPE	RMSE	MAE	MAPE	RMSE	MAE	MAPE	RMSE	MAE	MEPE
Jan.	0.51	0.37	12.97%	0.48	0.33	11.45%	0.69	0.50	17.22%	0.71	0.51	17.61%	0.48	0.34	12.28%	0.72	0.52	18.06%	0.70	0.51	17.55%
Apr.	1.17	0.82	10.53%	0.99	0.74	10.22%	1.50	1.07	14.23%	1.55	1.06	13.85%	1.08	0.78	11.09%	1.56	1.09	14.23%	1.57	1.11	14.42%
Jul.	0.78	0.56	9.30%	0.65	0.47	7.96%	1.02	0.74	11.92%	1.09	0.75	11.44%	0.68	0.49	8.59%	1.05	0.72	11.31%	1.07	0.74	11.59%
Oct.	0.68	0.49	5.88%	0.61	0.44	5.19%	1.46	0.81	9.53%	1.00	0.71	8.63%	0.64	0.46	5.93%	0.97	0.68	8.22%	0.96	0.69	8.19%
Station 1	0.67	0.49	8.78%	0.64	0.47	8.60%	1.14	0.80	14.03%	1.20	0.82	14.11%	0.66	0.48	9.30%	1.10	0.76	13.35%	1.11	0.76	13.48%
Station 2	0.88	0.67	11.93%	0.78	0.55	10.13%	1.35	0.80	14.27%	1.11	0.77	13.73%	0.84	0.59	10.87%	1.09	0.77	14.17%	1.09	0.78	14.07%
Station 3	0.81	0.54	8.30%	0.64	0.47	7.39%	1.03	0.74	11.38%	0.96	0.68	10.80%	0.67	0.49	8.26%	1.04	0.74	11.35%	1.03	0.74	11.27%