This paper proposes a new hybrid model for automatic diagnostics and optimal supervisory control. Detailed physical parameters represent half of the model and identified parameters describe another half. That hybrid model can be used to predict accurately the cooling and heating energy consumption of buildings in a wide range of operation conditions.
Hybrid model for building performance diagnosis and optimal control
![](https://www.aivc.org/sites/default/files/default_images/default_image_5.png)
Year:
2003
Bibliographic info:
Air Information Review - Annexes - Vol 25, n° 1, December 2003, pp 1-9, 6 Fig., 39 Ref.