Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7115032 | IFAC-PapersOnLine | 2018 | 6 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Fabian Paschke, Tobias Zaiczek,