A Novel Ensemble Wind Speed Forecasting Model in the Longdong Area of Loess Plateau in China

Table 6

The ME, MSE, MAE, and APE of BPNN, SVM, ELM, EEMD-BPNN, EEMD-SVM, EEMD-ELM, TCM, and GA–NNCT for wind turbine III.

Model	First Season			Second Season			Third Season			Fourth Season
	MSE(m/s)	MAE(m/s)	MAPE(%)	MSE(m/s)	MAE(m/s)	MAPE(%)	MSE(m/s)	MAE(m/s)	MAPE(%)	MSE(m/s)	MAE(m/s)	MAPE(%)
BPNN	0.3798	0.4646	24.19%	0.3418	0.4611	23.72%	0.302	0.455	22.93%	0.4197	0.5137	29.46%
SVM	0.3864	0.4671	23.52%	0.3366	0.4582	22.90%	0.307	0.4511	21.81%	0.4155	0.5059	28.02%
ELM	0.3839	0.4721	24.69%	0.3478	0.4706	24.43%	0.3015	0.4522	22.82%	0.4254	0.5223	29.86%
EEMD-BPNN	0.3803	0.454	22.91%	0.2603	0.4144	21.16%	0.401	0.4998	22.08%	0.3185	0.4376	24.52%
EEMD-SVM	0.3852	0.4497	22.20%	0.2722	0.4238	20.87%	0.4014	0.4507	21.77%	0.3298	0.4427	24.04%
EEMD-ELM	0.3831	0.4561	22.92%	0.2666	0.4186	21.25%	0.4054	0.5041	22.26%	0.325	0.441	24.61%
TCM	0.3694	0.4591	23.82%	0.2699	0.4294	22.33%	0.3217	0.4596	22.46%	0.3485	0.4629	26.54%
GA-NNCT	0.3668	0.4169	21.68%	0.2627	0.4202	20.33%	0.3286	0.4652	21.02%	0.3388	0.4611	23.42%