A New Wind Power Forecasting Approach Based on Conjugated Gradient Neural Network

Table 2

The faults of different networks.

Type	Term	Min (MW)	Max (MW)	Aver (MW)	Sum (MW)
CGNN	Mid	0.23	27.62	2.54	283.95
SGNN	Mid	0.53	17.45	5.27	590.47
RBF	Mid	0.48	31.08	7.07	791.67
ELM	Mid	0.18	46.46	7.95	889.81
CGNN	Long	0.40	66.18	19.03	10714.14
SGNN	Long	0.43	83.52	28.56	16084.44
RBF	Long	1.41	60.77	19.15	10786.64
ELM	Long	0.34	67.20	23.65	13319.70