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Understanding Home Energy Saving Recommendations

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Persuasive Technology (PERSUASIVE 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10809))

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Abstract

Energy recommender systems attempt to help users attain energy saving goals at home, however previous systems fall short of tailoring these recommendations to users’ devices and behaviors. In this paper we explore the foundations of a user-centered home energy recommendation system. We first conduct a study on a set of recommendations published by utility companies and government agencies to determine the types of recommendations may be popular among typical users. We then design micro-models to estimate energy savings for popular recommendations and conduct a followup study to see if users are likely to carry out these recommendations to achieve estimated savings. We found that users prefer low-cost but potentially tedious recommendations to those that are expensive, however users are unwilling to adopt recommendations that will require long-term lifestyle changes. We also determine that a subset of popular recommendations can lead to substantial energy savings.

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Author information

Authors and Affiliations

  1. Cornell University, Ithaca, NY, USA

    Matthew Law

  2. University of San Francisco, Fulton Street, San Francisco, CA, 2130, USA

    Mayank Thirani, Sami Rollins & Alark Joshi

  3. University of Maryland, 1000 Hilltop Cir, Baltimore, MD, USA

    Nilanjan Banerjee

Authors
  1. Matthew Law
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  2. Mayank Thirani
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  3. Sami Rollins
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  4. Alark Joshi
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  5. Nilanjan Banerjee
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Corresponding author

Correspondence to Nilanjan Banerjee .

Editor information

Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Jaap Ham

  2. Cyprus University of Technology, Limassol, Cyprus

    Evangelos Karapanos

  3. University of Waterloo, Waterloo, Ontario, Canada

    Plinio P. Morita

  4. University of Waterloo, Waterloo, Ontario, Canada

    Catherine M. Burns

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Law, M., Thirani, M., Rollins, S., Joshi, A., Banerjee, N. (2018). Understanding Home Energy Saving Recommendations. In: Ham, J., Karapanos, E., Morita, P., Burns, C. (eds) Persuasive Technology. PERSUASIVE 2018. Lecture Notes in Computer Science(), vol 10809. Springer, Cham. https://doi.org/10.1007/978-3-319-78978-1_25

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  • DOI: https://doi.org/10.1007/978-3-319-78978-1_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78977-4

  • Online ISBN: 978-3-319-78978-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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