A hybrid BiLSTM-XGBoost model for short-term forecasting of key parameters in nuclear power systems
Crossref DOI link: https://doi.org/10.1038/s41598-026-44745-5
Published Online: 2026-05-05
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Lei, Jichong
Peng, Zhiqiang
Ni, Zining
Ren, Changan
Hu, Hong
Gao, Xu
Xu, Kun
Cao, Yuhan
Text and Data Mining valid from 2026-05-05
Accepted Manuscript valid from 2026-05-05
Article History
Received: 6 November 2025
Accepted: 13 March 2026
First Online: 5 May 2026
Declarations
:
: The authors declare no competing interests.