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R. Zach, R. Bräuer, M. Schuss, A. Mahdavi:
"A Monitoring Framework for Runtime Simulation Calibration and Validation";
Talk: Building Simulation 2011 - IBPSA 2011, Sydney, Australien; 2011-11-14 - 2011-11-16; in: "driving better design through simulation - Proceedings of the 12th Conference of The International Building Performance Simulation Association", V. Soebarto, H. Bennetts, P. Bannister, P.C. Thomas, D. Leach (ed.); Konferenzpublikation mit wissenschaftlichem Lektorat, (2011), ISBN: 978-0-646-56510-1; 926 - 932.

One of the key problems in building simulation is to
determine the accuracy and reliability of a simulation
codes and tools. Due to the complexity of buildings,
a comprehensive and exhaustive mathematical proof
is typically not possible. In this context,
comprehensive collection of data from actual
buildings can provide an effective basis for probing
the degree to which simulation tools can represent
and predict the real performance of buildings.
Comprehensive building data monitoring not only
facilitates the evaluation of the fidelity of simulation
tools, but also support the generation of calibrated
simulation models, that can be applied in the context
of real-time simulation-assisted building systems
control. The present contribution describes concepts
and initial implementations toward creating and
testing a systematic framework for the dynamic and
comprehensive building data monitoring for
evaluation and calibration of performance simulation
models.

see english version

Project Head Ardeshir Mahdavi:
Monitoringgestützte automatische Modellkalibrierung für Gebäudesteuerung und ¿diagnose

Project Head Ardeshir Mahdavi:
Ubiquitäres und Dynamisches Gebäudeperformance - Monitoring