A data-driven approach for simulating the energy performance of closed-loop hydronic heating systems

Water supplies in closed-loop hydronic heating systems often contain varying amounts of impurities impacting system’s energy performance and are often poorly maintained, resulting in degraded performance. Traditional first-principles models inherently do not account for such problems. This study aim...

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Bibliographic Details

Main Authors:	Dimitris Tseno, Vanda Dimitriou, Mahroo Eftekhari, Yasir Ali
Format:	Default Conference proceeding
Published:	2025
Subjects:	Water Water supply Closed-loop hydronic heating Artificial neural network (ANN) models Machine learning models
Online Access:	https://hdl.handle.net/2134/30245902.v1
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