Poster Abstract: Towards a Categorization Framework for Occupancy Sensing Systems

Mikkel Baun Kjærgaard; Sanja Lazarova-Molnar; Muhyiddine Jradi

doi:10.1145/2768510.2770947

Poster Abstract: Towards a Categorization Framework for Occupancy Sensing Systems

Mikkel Baun Kjærgaard, Sanja Lazarova-Molnar, Muhyiddine Jradi

Mærsk Mc-Kinney Møller Instituttet

Publikation: Kapitel i bog/rapport/konference-proceeding › Konferenceabstrakt i proceedings › Forskning › peer review

261 Downloads (Pure)

Abstract

A large share of the energy consumption of buildings is driven by occupancy
behavior. Means to minimize this share of consumption depend upon accurate
information about occupant behavior. Therefore, it is important to improve
sensing systems for gathering such information. However, as research on
occupancy sensing systems goes beyond basic methods, there is an
increasing need for better comparison of proposed occupancy sensing systems. Developers of occupancy sensing systems are also lacking good
frameworks for understanding different options when building occupancy sensing
systems. This poster abstract motivates the need for working towards a better
categorization framework to address both of these problems. For researchers, the
categorization framework is also an aid when scoping out future research in the
area of occupancy sensing systems.

Originalsprog	Engelsk
Titel	Proceedings of the Sixth ACM International Conference on Future Energy Systems (e-Energy)
Forlag	Association for Computing Machinery
Publikationsdato	2015
Sider	215-216
ISBN (Elektronisk)	978-1-4503-3609-3
DOI	https://doi.org/10.1145/2768510.2770947
Status	Udgivet - 2015
Begivenhed	ACM Sixth International Conference on Future Energy Systems - Bangalore, Bangalore, Indien Varighed: 14. jul. 2015 → 17. jul. 2015

Konference

Konference	ACM Sixth International Conference on Future Energy Systems
Lokation	Bangalore
Land/Område	Indien
By	Bangalore
Periode	14/07/2015 → 17/07/2015

Dokumenter og links

10.1145/2768510.2770947

occupancysurvey_eenergyposterAccepteret manuskript, 119 KB

Citationsformater

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abstract = "A large share of the energy consumption of buildings is driven by occupancybehavior. Means to minimize this share of consumption depend upon accurateinformation about occupant behavior. Therefore, it is important to improvesensing systems for gathering such information. However, as research onoccupancy sensing systems goes beyond basic methods, there is anincreasing need for better comparison of proposed occupancy sensing systems. Developers of occupancy sensing systems are also lacking goodframeworks for understanding different options when building occupancy sensingsystems. This poster abstract motivates the need for working towards a bettercategorization framework to address both of these problems. For researchers, thecategorization framework is also an aid when scoping out future research in thearea of occupancy sensing systems.",

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Kjærgaard, MB , Lazarova-Molnar, S & Jradi, M 2015, Poster Abstract: Towards a Categorization Framework for Occupancy Sensing Systems. i Proceedings of the Sixth ACM International Conference on Future Energy Systems (e-Energy). Association for Computing Machinery, s. 215-216, ACM Sixth International Conference on Future Energy Systems, Bangalore, Indien, 14/07/2015. https://doi.org/10.1145/2768510.2770947

Poster Abstract: Towards a Categorization Framework for Occupancy Sensing Systems. / Kjærgaard, Mikkel Baun ; Lazarova-Molnar, Sanja ; Jradi, Muhyiddine.
Proceedings of the Sixth ACM International Conference on Future Energy Systems (e-Energy). Association for Computing Machinery, 2015. s. 215-216.

Publikation: Kapitel i bog/rapport/konference-proceeding › Konferenceabstrakt i proceedings › Forskning › peer review

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