Talks and Poster Presentations (with Proceedings-Entry):
A. Mahdavi, S. Glawischnig, N. Ghiassi:
"Urban Energy Computing: a Multi-Layered Approach";
Talk: Software Engineering 2016 (SE 2016),
Wien;
2016-02-23
- 2016-02-26; in: "(Gemeinsamer) Tagungsband der Workshops der Tagung Software Engineering 2016 (SE 2016)",
CEUR Workshop-Proceedings,
1559
(2016),
ISSN: 1613-0073;
Paper ID 14,
6 pages.
English abstract:
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
German abstract:
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
Keywords:
smart cities, urban energy computing
Electronic version of the publication:
http://ceur-ws.org/Vol-1559/paper14.pdf
Created from the Publication Database of the Vienna University of Technology.