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Table 6 The Statistical error results of different sets of feature combinations

From: Short-term photovoltaic power production forecasting based on novel hybrid data-driven models

F1

  

\(SV{R}_{RB}\)

\(SV{R}_{Linear}\)

\(BPN{N}^{1}\)

\(BPN{N}^{2}\)

SSO

\(RMSE \; (\text{kW})\)

14.4960

31.3237

14.6058

14.5608

\(nRMSE \; (\%)\)

14.0192

30.3600

14.1565

14.1128

\(MAE \; (\text{kW})\)

9.9074

27.6873

10.2919

10.3007

\(nMAE \; (\%)\)

9.6023

26.8354

9.6026

9.9837

PSO

\(RMSE \; (\text{kW})\)

14.4938

31.2859

14.5992

14.5939

\(nRMSE \; (\%)\)

14.0171

30.3234

14.1501

14.1449

\(MAE \; (\text{kW})\)

9.8995

27.6931

10.3278

10.3009

\(nMAE \; (\%)\)

9.5750

26.8411

9.5950

9.9840

CSO

\(RMSE \; (\text{kW})\)

14.5190

32.1062

14.5996

14.6109

\(nRMSE \; (\%)\)

14.0415

31.1184

14.1505

14.1614

\(MAE \; (\text{kW})\)

9.9408

27.7186

10.2778

10.3139

\(nMAE \; (\%)\)

9.5351

26.8658

9.6350

9.9966

NNA

\(RMSE \; (\text{kW})\)

14.5210

32.0508

14.6058

14.6008

\(nRMSE \; (\%)\)

14.0437

31.0647

14.1316

14.1516

\(MAE \; (\text{kW})\)

9.8935

27.7093

10.2919

10.2736

\(nMAE \; (\%)\)

9.5712

26.8568

10.5862

9.9575

F12

  

\(SV{R}_{RB}\)

\(SV{R}_{Linear}\)

\(BPN{N}^{1}\)

\(BPN{N}^{2}\)

SSO

\(RMSE \; (\text{kW})\)

4.7500

10.9501

5.5316

5.1200

\(nRMSE \; (\%)\)

4.6039

10.6132

5.3614

4.9624

\(MAE \; (\text{kW})\)

2.7617

4.8848

3.6254

3.4040

\(nMAE \; (\%)\)

2.6768

4.7345

3.5139

3.2993

PSO

\(RMSE \; (\text{kW})\)

4.7683

9.5483

5.7413

4.9426

\(nRMSE \; (\%)\)

4.6216

9.2545

5.5646

4.7906

\(MAE \; (\text{kW})\)

2.7563

5.0958

3.7354

3.1756

\(nMAE \; (\%)\)

2.6715

4.9390

3.6205

3.0779

CSO

\(RMSE \; (\text{kW})\)

4.7799

10.9102

5.1076

5.7279

\(nRMSE \; (\%)\)

4.6328

10.5746

4.9504

5.5516

\(MAE \; (\text{kW})\)

2.7943

4.8865

3.3402

4.0031

\(nMAE \; (\%)\)

2.7083

4.7361

3.2374

3.8800

NNA

\(RMSE \; (\text{kW})\)

4.7683

10.9497

5.5316

5.7289

\(nRMSE \; (\%)\)

4.6216

10.6129

5.2403

5.5526

\(MAE \; (\text{kW})\)

2.7563

4.8847

3.6328

3.4888

\(nMAE \; (\%)\)

2.6715

4.7344

3.5210

3.3815

F16

  

\(SV{R}_{RB}\)

\(SV{R}_{Linear}\)

\(BPN{N}^{1}\)

\(BPN{N}^{2}\)

SSO

\(RMSE \; (\text{kW})\)

5.1403

10.9640

5.4770

5.1566

\(nRMSE \; (\%)\)

4.9206

10.6267

5.3085

4.9980

\(MAE \; (\text{kW})\)

3.3201

4.8847

3.5821

3.3352

\(nMAE \; (\%)\)

3.2249

4.7344

3.4719

3.2326

PSO

\(RMSE \; (\text{kW})\)

5.2250

10.9619

5.4168

5.5929

\(nRMSE \; (\%)\)

5.0027

10.6246

5.2501

5.4208

\(MAE \; (\text{kW})\)

3.4480

4.8830

3.5586

3.6938

\(nMAE \; (\%)\)

3.3419

4.7328

3.4492

3.5802

CSO

\(RMSE \; (\text{kW})\)

5.1450

10.9634

5.6816

5.1768

\(nRMSE \; (\%)\)

5.0152

10.6261

5.5068

5.0176

\(MAE \; (\text{kW})\)

3.3145

4.8846

3.6281

3.3326

\(nMAE \; (\%)\)

3.2095

4.7343

3.5165

3.2301

NNA

\(RMSE \; (\text{kW})\)

4.7250

10.9593

5.4770

4.8391

\(nRMSE \; (\%)\)

4.5027

10.6221

5.7398

4.6902

\(MAE \; (\text{kW})\)

3.0532

4.8852

4.0252

3.0557

\(nMAE \; (\%)\)

2.7419

4.7349

3.9013

2.9617