Static voltage stability margin prediction considering new energy uncertainty based on graph attention networks and long short‐term memory networks

Tong Liu, Xueping Gu, Shaoyan Li, Yansong Bai, Tieqiang Wang, Xiaodong Yang

Open source

DOI
10.1049/rpg2.12731
Published
2023-05-06
Container
IET Renewable Power Generation
Publisher
Institution of Engineering and Technology (IET)
Open access
unknown

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BibTeX

@article{allodium:10.1049/rpg2.12731,
  title = {Static voltage stability margin prediction considering new energy uncertainty based on graph attention networks and long short‐term memory networks},
  author = {Tong Liu and Xueping Gu and Shaoyan Li and Yansong Bai and Tieqiang Wang and Xiaodong Yang},
  year = {2023},
  journal = {IET Renewable Power Generation},
  doi = {10.1049/rpg2.12731},
  url = {https://doi.org/10.1049/rpg2.12731}
}

RIS

TY  - JOUR
TI  - Static voltage stability margin prediction considering new energy uncertainty based on graph attention networks and long short‐term memory networks
AU  - Tong Liu
AU  - Xueping Gu
AU  - Shaoyan Li
AU  - Yansong Bai
AU  - Tieqiang Wang
AU  - Xiaodong Yang
PY  - 2023
JO  - IET Renewable Power Generation
DO  - 10.1049/rpg2.12731
UR  - https://doi.org/10.1049/rpg2.12731
ER  - 

APA

Liu, T., Gu, X., Li, S., Bai, Y., Wang, T., & Yang, X. (2023). Static voltage stability margin prediction considering new energy uncertainty based on graph attention networks and long short‐term memory networks. IET Renewable Power Generation. https://doi.org/10.1049/rpg2.12731

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