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Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):

A. Mahdavi, S. Glawischnig, N. Ghiassi:
"Urban Energy Computing: a Multi-Layered Approach";
Vortrag: Software Engineering 2016 (SE 2016), Wien; 23.02.2016 - 26.02.2016; in: "(Gemeinsamer) Tagungsband der Workshops der Tagung Software Engineering 2016 (SE 2016)", CEUR Workshop-Proceedings, 1559 (2016), ISSN: 1613-0073; Paper-Nr. 14, 6 S.



Kurzfassung deutsch:
Smart urban-level applications require high-fidelity and high-resolution models. This
circumstance has raised the interest in computational models of mass, energy, and information
flows in the urban context. Toward this end, we focus in the present contribution on a multilayered
approach to urban energy computing. The variance in the spatial and temporal resolution
of the queries' purpose and informational background suggests that different computational
approaches may be deemed appropriate. Our modelling approach involves thus three strategies,
addressing i) bulk informational requirements regarding large segments of an urban context, ii)
queries requiring an overall understanding of the dynamic nature of building blocks' energy
performance, and iii) a detailed urban energy computing level involving massive computing

Kurzfassung englisch:
Smart urban-level applications require high-fidelity and high-resolution models. This
circumstance has raised the interest in computational models of mass, energy, and information
flows in the urban context. Toward this end, we focus in the present contribution on a multilayered
approach to urban energy computing. The variance in the spatial and temporal resolution
of the queries' purpose and informational background suggests that different computational
approaches may be deemed appropriate. Our modelling approach involves thus three strategies,
addressing i) bulk informational requirements regarding large segments of an urban context, ii)
queries requiring an overall understanding of the dynamic nature of building blocks' energy
performance, and iii) a detailed urban energy computing level involving massive computing

Schlagworte:
smart cities, urban energy computing


Elektronische Version der Publikation:
http://ceur-ws.org/Vol-1559/paper14.pdf


Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.