Saving energy in 1-D : tailoring energy-saving advice using a Rasch-based energy recommender system

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14 Citations (Scopus)

Abstract

Although there are numerous possibilities to save energy, conservation
initiatives often do not tailor their content to the consumer. By considering
energy conservation as a one-dimensional construct, where different behaviors
have different execution difficulties, we have set out a Rasch-based energy
recommender system that provides tailored conservation advice to its users.
Through an online choice experiment among 196 users, we found that users
prefer energy-saving measures that fit their Rasch-profile, rather than ones that
fit their conservation attitude.
Original languageEnglish
Title of host publicationProceedings of the 2nd International Workshop on Decision Making and Recommender Systems (DMRS 2015), 22-23 October 2015, Bolzano, Italy
EditorsMouhzi Ge, Francesco Ricci
Place of PublicationBolzano-Bozen
PublisherFree University of Bozen Bolzano
Pages5-8
Publication statusPublished - 10 Dec 2015

Publication series

NameCEUR Workshop Proceedings
Volume1533
ISSN (Print)1613-0073

Keywords

  • Recommender systems
  • energy advice
  • Rasch model
  • energy efficiency
  • energy curtailment

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