default author photo

Frede Blaabjerg

Aalborg University

Fredrik Bajers Vej 7E

Aalborg, DK-9220

Denmark

  • Aalborg University

SCHOLARLY PAPERS

1

DOWNLOADS

30

TOTAL CITATIONS

0

Scholarly Papers (1)

Actions:
Email selected abstracts
1.

Improved clustering-multimodal feature decomposition for multi-time scale terminal voltage characterization, edge computing performance evaluation, and retirement prediction of large-capacity batteries in energy storage power stations

Number of pages: 22 Posted: 17 Feb 2026
Shunli Wang, Carlos Fernandez, Liya Zhang, Liangwei Cheng, Lei Zhou and Frede Blaabjerg
Southwest University of Science and Technology, Southwest University of Science and Technology, Inner Mongolia University of Technology, Inner Mongolia University of Technology, Inner Mongolia University of Technology and Aalborg University
Downloads 30 (1,372,601)

Abstract:

Loading...

Large-scale energy storage power station, Edge computing, Battery performance evaluation, Cluster analysis, Echelon utilization