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Methodologies for Effective Demand Response Messaging
IBM Res, Yorktown Hts, NY.
IBM Res, Yorktown Hts, NY.
Network Economics and Services Group, Athens University of Economics and Business.
Network Economics and Services Group, Athens University of Economics and Business.
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Number of Authors: 7
2016 (English)In: 2015 IEEE International Conference on Smart Grid Communications (SmartGridComm): Data Management, Grid Analytics and Dynamic Pricing ; 2-5 Nov. 2015, Piscataway, NJ: IEEE Communications Society, 2016, p. 453-458Conference paper, Published paper (Refereed)
Abstract [en]

Demand Response (DR) is considered an effective mechanism by utilities worldwide to address demand supply mismatch and reduce energy consumption, peak load and emissions. Consumer participation is central to realize the full potential offered by DR programs. The communication between a utility company and consumers participating in DR is through DR messages. However, despite the importance of DR messages in the context of residential DR programs, only a limited number of relevant experimental studies have been reported in literature so far. To address this gap, in this paper, we report findings from 6-month long DR field trials involving residential participants in Lulea, Sweden. The trials specifically focus on four aspects related to DR messages - notification mechanism, message type, associated incentive, and participation feedback. The primary outcome of these trials is a set of guidelines and recommendations for design of effective DR programs.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2016. p. 453-458
National Category
Control Engineering Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:ltu:diva-28630DOI: 10.1109/SmartGridComm.2015.7436342Scopus ID: 84964988363Local ID: 27ec130e-780d-4ef8-a60d-49bbf0613721ISBN: 978-1-4673-8289-2 (print)OAI: oai:DiVA.org:ltu-28630DiVA, id: diva2:1001832
Conference
IEEE International Conference on Smart Grid Communications (SmartGridComm), Data Management, Grid Analytics and Dynamic Pricing ; 2-5 Nov. 2015
Note

För godkännande; 2016; 20160902 (inah)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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Gylling, Arne

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CiteExportLink to record
Permanent link

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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
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  • asciidoc
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