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Wang et al., 2020 - Google Patents

Bayesian calibration at the urban scale: a case study on a large residential heating demand application in Amsterdam

Wang et al., 2020

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Document ID
1959714355484033800
Author
Wang C
Tindemans S
Miller C
Agugiaro G
Stoter J
Publication year
Publication venue
Journal of Building Performance Simulation

External Links

Snippet

ABSTRACT A bottom-up building energy modelling at the urban scale based on Geographic Information System and semantic 3D city models can provide quantitative insights to tackle critical urban energy challenges. Nevertheless, incomplete information is a common …
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