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Project
Bottom-up engineering building stock models: closing the performance gap using grey-box modelling
The aim of this research is to increase reliability and reduce the performance gap of bottom-up engineering building stock models, by combining a large amount of recently available measured data with available data-analysis techniques. The existing theoretical calculation models will be
updated with these techniques and implemented in such a way that they automatically adapt to updates in available data.
Date:1 Oct 2018 → 30 Sep 2022
Keywords:optimization, grey box, uncertainty, validation, Building Energy Simulation (BES)
Disciplines:Energy generation, conversion and storage engineering not elsewhere classified, Thermodynamics not elsewhere classified, Electrical Power Engineering not elsewhere classified