A deep learning-based framework for the operation prediction of primary heat transfer loop in nuclear power plants

A deep learning-based framework for the operation prediction of primary heat transfer loop in nuclear power plants

A deep learning-based multi-node framework is constructed in this work to provide a data-driven platform that provides predictions for the operation condition of the primary heat transfer (PHT) loop in nuclear power plants (NPPs). Several deep learning models that have been verified and demonstrated...

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Bibliographic Details
Main Authors: Tianzi Shi, Jingke She, Pingfan Li, Jianjian Jiang, Wei Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Energy Research
Subjects:
CNN
LSTM
zLSTM
LOCA
prediction
polynomial fitting
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2023.1099326/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2023.1099326/full

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