Forecasting Wind Power Generation Using Artificial Neural Network: “Pawan Danawi”—A Case Study from Sri Lanka

Table 1

Performance of the algorithms for different validation percentages.

Validation percentage	ANN training algorithm	Number of epochs	R	MSE	BIAS
5	LM	2	0.94	0.024	0.078
	SCG	14	0.95	0.021	-0.027
	BR	603	0.97	0.000	0.023
10	LM	4	0.91	0.114	-0.001
	SCG	21	0.96	0.017	-0.182
	BR	314	0.94	0.006	-0.166
15	LM	2	0.97	0.219	0.010
	SCG	19	0.95	0.163	-0.995
	BR	992	0.98	0.008	-0.281
20	LM	2	0.97	0.127	0.536
	SCG	17	0.95	0.160	0.539
	BR	408	0.99	0.000	-0.276
25	LM	2	0.97	0.147	0.522
	SCG	17	0.94	0.168	0.708
	BR	413	1.00	0.000	-0.367