A learning‐based energy management strategy for hybrid energy storage systems with compressed air and solid oxide fuel cells

Yundie Guan, Xiangyu Zhang, Zheming Liang, Tao Chen

Open source

DOI: 10.1049/rpg2.13192
Published: 2025-01
Container: IET Renewable Power Generation
Publisher: Institution of Engineering and Technology (IET)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1049/rpg2.13192,
  title = {A learning‐based energy management strategy for hybrid energy storage systems with compressed air and solid oxide fuel cells},
  author = {Yundie Guan and Xiangyu Zhang and Zheming Liang and Tao Chen},
  year = {2025},
  journal = {IET Renewable Power Generation},
  doi = {10.1049/rpg2.13192},
  url = {https://doi.org/10.1049/rpg2.13192}
}

RIS

TY  - JOUR
TI  - A learning‐based energy management strategy for hybrid energy storage systems with compressed air and solid oxide fuel cells
AU  - Yundie Guan
AU  - Xiangyu Zhang
AU  - Zheming Liang
AU  - Tao Chen
PY  - 2025
JO  - IET Renewable Power Generation
DO  - 10.1049/rpg2.13192
UR  - https://doi.org/10.1049/rpg2.13192
ER  -

APA

Guan, Y., Zhang, X., Liang, Z., & Chen, T. (2025). A learning‐based energy management strategy for hybrid energy storage systems with compressed air and solid oxide fuel cells. IET Renewable Power Generation. https://doi.org/10.1049/rpg2.13192

Source records

crossref · retrieved 2026-09-25T00:46:01.036Z