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N. Ghiassi, A. Mahdavi:
"Urban Energy Modeling Using Multivariate Cluster Analysis";
Talk: Proceedings of the CESBP Central European Symposium on Building Physics AND BauSIM 2016, Dresden, Germany; 2016-09-14 - 2016-09-16; in: "Proceedings of BauSim 2016", J. Grunewald et al. (ed.); Technische Universität Dresden / Scientific Committee of the CESBP // Fraunhofer IRB Verlag, (2016), 978‐3‐8167‐9798‐2; 329 - 336.

Performance simulation tools offer many possibilities to study the implications of various physical,
technological, operational, and contextual factors for the energy performance of buildings. However, using such tools for urban-scale inquiries has been hampered by their substantial informational and computational requirements. To facilitate the
computationally efficient simulation-based thermal assessment of large building assemblies, the present research proposes a sampling-based framework. The suggested method relies on Multivariate Cluster Analysis (MCA) based on energy-related building parameters, to ensure that the selected sample reflects
the energy behavioral diversity of the urban area
under study.

[no german version available] Performance simulation tools offer many possibilities to study the implications of various physical,
technological, operational, and contextual factors for the energy performance of buildings. However, using such tools for urban-scale inquiries has been hampered by their substantial informational and computational requirements. To facilitate the
computationally efficient simulation-based thermal assessment of large building assemblies, the present research proposes a sampling-based framework. The suggested method relies on Multivariate Cluster Analysis (MCA) based on energy-related building parameters, to ensure that the selected sample reflects
the energy behavioral diversity of the urban area
under study.