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An energy awareness study in a Smart City lessons learned
C and C Innovation Initiative, NEC Corporation.
NEC Laboratories Europe, NEC Europe Ltd., Heidelberg.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
NEC Scandinavia.
2014 (English)In: IEEE ISSNIP 2014: 2014 IEEE 9th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Conference Proceedings, Piscataway, NJ: IEEE Communications Society, 2014, p. 4-, article id 6827663Conference paper, Published paper (Refereed)
Abstract [en]

The SmartCity concept is becoming widely accepted and describes the usage of ICT for increased quality of life and also for a sustainable usage of natural resources. This paper describes a system architecture for monitoring of electrical energy consumption, and visualization of usage patterns to raise users' awareness of their energy usage which we field trialled over several months. The information collected of each household includes kWh, emission of carbon dioxide emissions and it also relates a household's consumption to other households attending the trial. Our results indicate that a fraction of the participants was interested in a detailed comparison with others whereas other participants had their main interest in not performing worse than the average household. Further, a large fraction had a demand for knowing the total energy usage of their household through an easily accessible visualization. These results indicate that there is support to embed sensing and feedback services to daily life for involving the residents of a SmartCity more.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2014. p. 4-, article id 6827663
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing; Enabling ICT (AERI)
Identifiers
URN: urn:nbn:se:ltu:diva-31249DOI: 10.1109/ISSNIP.2014.6827663Scopus ID: 84903714700Local ID: 55e5024b-1d45-471c-9ab3-21cdbb8f41d9ISBN: 9781479928439 (print)OAI: oai:DiVA.org:ltu-31249DiVA, id: diva2:1004479
Conference
International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) : Symposium on Computational Intelligence 21/04/2014 - 24/04/2014
Note
Godkänd; 2014; 20140805 (johsod)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-01-14Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf