Log in to save to my catalogue

Research on a Service Load Prediction Method Based on VMD-GLRT

Research on a Service Load Prediction Method Based on VMD-GLRT

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4ede20cc0a634e1dbb71994dbd898a35

Research on a Service Load Prediction Method Based on VMD-GLRT

About this item

Full title

Research on a Service Load Prediction Method Based on VMD-GLRT

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2023-03, Vol.13 (5), p.3315

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

In this paper, a deep learning-based prediction model VMD-GLRT is proposed to address the accuracy problem of service load prediction. The VMD-GLRT model combines Variational Mode Decomposition (VMD) and GRU-LSTM. At the same time, the model incorporates residual networks and self-attentive mechanisms to improve accuracy of the model. The VMD part...

Alternative Titles

Full title

Research on a Service Load Prediction Method Based on VMD-GLRT

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_4ede20cc0a634e1dbb71994dbd898a35

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4ede20cc0a634e1dbb71994dbd898a35

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app13053315

How to access this item