Paschke, FabianFabianPaschke2022-03-142022-03-142020https://publica.fraunhofer.de/handle/publica/40916910.1109/MED48518.2020.91829842-s2.0-85092193107This contribution proposes a block-oriented nonlinear stochastic model, that can be identified by prediction error minimization (PEM) method. The model consists of a linear time invariant (LTI) stochastic block and a static nonlinear output feedback. Using measured data of a conference and an office room, it is demonstrated that this approach can be used for the identification of models suitable for short term room-temperature prediction.en621004conference paper