Table 2 Results of resource prediction by different models on the DHVCD.

From: MMTransformer: a multivariate time-series resource forecasting model for multi-component applications

Models

Ours

LSTM

GRU

RNN

Transformers

Autoformer

Informer

Fedformer

Metric

MSE

MAE

MSE

MAE

MSE

MAE

MSE

MAE

MSE

MAE

MSE

MAE

MSE

MAE

MSE

MAE

24

0.3918

0.4038

0.6523

0.5626

0.6542

0.5605

0.5408

0.5102

0.4934

0.5332

0.4737

0.5022

0.4284

0.4292

0.4165

0.4090

48

0.4013

0.4079

0.6670

0.5724

0.6621

0.5674

0.5612

0.5221

0.5003

0.5326

0.4964

0.5102

0.4368

0.4334

0.4273

0.4241

96

0.4383

0.4170

0.7306

0.6060

0.6793

0.5791

0.6578

0.5742

0.5502

0.5739

0.5348

0.5630

0.5109

0.5364

0.5010

0.5219

192

0.4522

0.4249

0.7573

0.6168

0.7258

0.6053

0.6804

0.5879

0.6099

0.6325

0.5769

0.6020

0.5217

0.5425

0.5140

0.5402

384

0.4662

0.4366

0.7902

0.6441

0.7479

0.6192

0.7015

0.5979

0.6119

0.6393

0.6170

0.6331

0.5400

0.5535

0.5363

0.5450

  1. Significant values are in [bold].