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Table 5 Evaluation of the performance of the 14 selected methods for the site of Site 1

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

Methods

Weibull parameters

Statistical indicators

K

c

RMSE

R2

GM

2.66256161499

1.28749830353

0.41134565345

0.95265381643

EMJ

2.71396783456

1.28777461687

0.41447762148

0.95473804509

EML

2.71396783456

1.28782469571

0.41446949713

0.95473160107

EPFM

2.60211185660

1.28952772304

0.40727226124

0.98957815290

MM

2.70484156176

1.28792442074

0.41389026012

0.95436535670

MLM

2.63506684333

1.28613243640

0.40986128507

0.95152893063

MMLM

2.63506684333

1.28613243640

0.40986128508

0.95152893063

AMLM

2.70082586859

1.29157392921

0.41305284254

0.95373196912

LSM

2.68234951348

1.29297249228

0.41168841497

0.95281976751

WLSM

2.89997575853

1.27018173195

0.42883192453

0.96295486753

CFM

2.70687053969

1.28789120928

0.41402085453

0.95444891523

WVM

1.38750174580

1.25491880279

0.74936396632

0.44753812176

MoroM

1.16855711319

1.20902805426

0.90355036297

0.45405322041

MQM

3.40858067762

1.23600767097

0.46562752703

0.97405833713