Influence of Weibull parameters on the estimation of wind energy potential

Sustainable Energy Research

Table 9 Comparative analysis of the predicted standard deviation by each method and the measured standard deviation

Methods	Site 1		Site 2		Site 3
Methods	Std	RE	std	RE	std	RE
GM	0.46285	0.01333	1.70726	0.02489	2.32308	0.11220
EMJ	0.45539	0.00301	1.74060	0.00584	2.08934	0.00030
EML	0.45540	0.00297	1.74100	0.00561	2.08898	0.00013
EPFM	0.47287	0.03527	1.79331	0.02426	2.17038	0.03910
MM	0.45676	0	1.75083	0	2.08872	0
MLM	0.46652	0.02137	1.77133	0.01171	2.06885	0.00951
MMLM	0.46652	0.02137	1.77133	0.01171	2.06885	0.00951
AMLM	0.45864	0.00412	1.71306	0.02158	2.24395	0.07432
LSM	0.46186	0.01117	1.70569	0.02578	2.32249	0.11192
WLSM	0.42434	0.07097	1.64311	0.06152	2.08546	0.00156
CFM	0.45645	0.00067	1.74665	0.00239	2.09141	0.00129
WVM	0.83593	0.83013	2.35735	0.34642	3.41715	0.63601
MoroM	0.98330	1.15276	2.09691	0.19766	2.64376	0.26573
MQM	0.35991	0.21203	1.44682	0.17364	2.10518	0.00788
Measured	0.45676	–	1.47180	–	1.69784	–