Building modeling: on selection of the model complexity for predictive control
Eva Žáčeková1, Samuel Prívara1, Zdeněk Váňa1 and Jiří Cigler1∗, 1Department of Control Engineering, CTU in Prague, 121 35 Prague,Czech Republic, 1jiri.cigler@fel.cvut.cz
Abstract
Model Predictive Control has become a wide-spread solution in many industrial applications and is gaining ground in the field of energy management of the buildings. A model with good prediction properties is an ultimate condition for good performance of the predictive controller. In this paper grey box modeling and model predictive control relevant identification are used for construction of candidate models of a building. We introduce a two-stage iterative procedure for model selection: ...
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