NPP accident prevention: Integrated neural network for coupled multivariate time series prediction based on PSO and its application under uncertainty analysis for …
X Xiao, X Zhang, M Song, X Liu, Q Huang - Energy, 2024 - Elsevier
Due to the requirement of a cleaner, more sustainable form of energy production and the
rapid development of DT, nuclear energy needs to be digital transformed. This paper aims at …
rapid development of DT, nuclear energy needs to be digital transformed. This paper aims at …
Predicting nuclear power plant operational parameters using clustering and mutual information for feature selection and Transformer neural network optimized by TPE
Y Tuo, X Liu - Frontiers in Energy Research, 2024 - frontiersin.org
Introduction In the domain of nuclear power plant operations, accurately and rapidly
predicting future states is crucial for ensuring safety and efficiency. Data-driven methods are …
predicting future states is crucial for ensuring safety and efficiency. Data-driven methods are …
[HTML][HTML] Prediction of small-scale leak flow rate in LOCA situations using bidirectional GRU
HS Jo, SH Lee, MG Na - Nuclear Engineering and Technology, 2024 - Elsevier
It is difficult to detect a small-scale leakage in a nuclear power plant (NPP) quickly and take
appropriate action. Delaying these procedures can have adverse effects on NPPs. In this …
appropriate action. Delaying these procedures can have adverse effects on NPPs. In this …
Application of Data-Driven Modeling and Calibration Methods in Nuclear Power Plant Prognosis Digital Twins
Y Tuo, X Liu - Available at SSRN 4946900 - papers.ssrn.com
The nuclear industry increasingly uses digital twin technology to improve operational
efficiency and safety in power plants, with data-driven methods gaining prominence for their …
efficiency and safety in power plants, with data-driven methods gaining prominence for their …