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Table 7 Evaluation of the performance of the 14 selected methods for the site of Site 3

From: Influence of Weibull parameters on the estimation of wind energy potential

Methods

Weibull parameters

Statistical indicators

k

c

RMSE

R2

GM

2.77725488487

6.70081559294

0.09609904779

0.96610737761

EMJ

3.10261404400

6.62467464905

0.10121349570

0.97643310577

EML

3.10261404400

6.62353618896

0.10122230668

0.97638451393

EPFM

2.97369137323

6.63732027178

0.09932790997

0.99878914435

MM

3.10364941577

6.62457190798

0.10122857902

0.97645669972

MLM

3.13128657045

6.61122836842

0.10171329865

0.97659105329

MMLM

3.13128657045

6.61122836842

0.10171329865

0.97659105329

AMLM

2.80167313500

6.52137026238

0.09778140700

0.95751198425

LSM

2.78080609501

6.70648319196

0.09610794613

0.96652221197

WLSM

3.13295771103

6.66733498718

0.10130190514

0.97879228155

CFM

3.09919457456

6.62501386131

0.10116367382

0.97635456992

WVM

1.79349036388

6.66113576059

0.98206470833

0.57839860830

MoroM

1.38565464750

6.68411988517

0.99059695603

0.63972799830

MQM

3.16149045628

6.78242313919

0.10081624491

0.98151013392