Hybrid White-Box/Black-Box Modeling and Control of a CO₂ Heat Pump System Using Modelica and Deep Learning: A Case Study on Return-Water Temperature Control

This study presents a hybrid modeling framework integrating a deep learning-based black-box model of a CO₂ heat pump with a physics-based white-box system model developed in Modelica. The approach reduces the complexity of thermodynamic modeling while maintaining system-level accuracy. A...

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Hlavní autoři:	Ge Song, Qian Zhang, Natasa Nord
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-02-01
Edice:	Energies
Témata:	CO<sub>2</sub> heat pump hybrid modeling deep learning Modelica hysteresis control return-water temperature
On-line přístup:	https://www.mdpi.com/1996-1073/19/4/908
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