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...

Full beskrivning

Bibliografiska uppgifter

Huvudupphov:	Stella Pantopoulou, Anthonie Cilliers, Lefteri H. Tsoukalas, Alexander Heifetz
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2025-04-01
Serie:	Energies
Ämnen:	transfer learning transformer LSTM Time Series Forecasting temperature sensing
Länkar:	https://www.mdpi.com/1996-1073/18/9/2286
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!