Optimal operation strategy predictive control for an integrated radiant cooling with fresh air system based on machine learning

Radiant cooling systems are widely valued for their great comfort and energy-saving potential. However, they still face the risk of condensation in the early stages of operation, especially in case of random occupancy and intermittent operation. This study aims to avoid unacceptable discomfort durat...

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Veröffentlicht in:	Building services engineering research & technology 2024-11, Vol.45 (6), p.795-814
Hauptverfasser:	Liu, Yuhan, Xia, Xueying, Hu, Yushuo, Li, Zhen, Gu, Hailong
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Cities Control methods Control systems Cooling Cooling systems Discomfort Energy conservation Energy consumption Machine learning Prediction models Predictive control Radiant cooling Strategy
Online-Zugang:	Volltext
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