The article “Hybrid Physics-Data Modeling of Building Thermal Dynamics” has been published in the Artificial Intelligence in HVAC issue of the “REHVA Journal”.
Authored by Mattia Bergagio, Massimo Amerio and Francesco Gallo (EURIX), together with Paola Fasiello (REHVA), the paper presents key results from Task 4.1 of the Horizon Europe ENTRANCE project, focusing on the development of data-driven dynamic models to improve building energy flexibility and introducing a hybrid modeling framework applied to one of the pilot buildings.
This publication contributes to ENTRANCE’s objectives by advancing AI-based methods for understanding and controlling building energy behaviour, with implications for flexibility, efficiency and sustainability in HVAC systems.
ENTRANCE started on 1 January 2025 and and has a runtime of four years.
Any further information is available on the website: entrance-project.com.
The ENTRANCE project has received funding from the European Union’s Horizon Europe research and innovation action program under grant agreement № 101192930.
Views and opinions expressed are however those of the author only and do not necessarily reflect those of the European Union or European Climate, Infrastructure and Environment Executive Agency (CINEA). Neither the European Union nor the granting authority can be held responsible for them.
