Identification of dynamic models for the short-term temperature prediction in a single room

This contribution illustrates an approach for the generation of a linear dynamic discrete time model for the short term prediction of the room temperature in a single conference room. The model is extracted from recorded measurement data by means of system identification. After a brief description of the considered room and the modeling approach the model is validated by statistical analysis and by its prediction performance.