Latent Trajectory Forecasting for Long-Horizon Multivariate Nuclear Power Plant Parameter Prediction

Long-horizon multivariate forecasting of nuclear power plant parameters becomes increasingly challenging as the forecast horizon and the number of target variables grow. This study evaluates an long short-term memory (LSTM) autoencoder-based latent trajectory forecasting framework for operator-suppo...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Donghee Jung, Junyong Bae, Hyun Gook Kang, Seung Jun Lee
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2026-06-01
Schriftenreihe:	Energies
Schlagworte:	long-horizon forecasting multivariate forecasting latent trajectory forecasting LSTM autoencoder nuclear power plant operator support
Online-Zugang:	https://www.mdpi.com/1996-1073/19/13/3048
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