Transformers and Long Short-Term Memory Transfer Learning for GenIV Reactor Temperature Time Series Forecasting

Automated monitoring of the coolant temperature can enable autonomous operation of generation IV reactors (GenIV), thus reducing their operating and maintenance costs. Automation can be accomplished with machine learning (ML) models trained on historical sensor data. However, the performance of ML u...

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Egile Nagusiak:	Stella Pantopoulou, Anthonie Cilliers, Lefteri H. Tsoukalas, Alexander Heifetz
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2025-04-01
Saila:	Energies
Gaiak:	transfer learning transformer LSTM Time Series Forecasting temperature sensing
Sarrera elektronikoa:	https://www.mdpi.com/1996-1073/18/9/2286
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