Experimental and machine learning-based identification of a solar thermal system for domestic hot water and direct solar floor heating

This study investigates the energy performance of a combined solar underfloor heating and domestic hot water (DHW) system using an innovative approach that combines experimental data and mathematical modeling. The PieceWise Affine Auto-Regressive eXogenous (PWARX) model was employed to identify disc...

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Bibliographic Details
Main Authors: Yassine Bouguergour, Sayeh Menhoudj, Abderrahmane Mejedoub Mokhtari, Karim Dehina, Abdelatif Zairi, Romain Mege, Mohammed-Hichem Benzaama
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Case Studies in Thermal Engineering
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Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X25001959
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