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.
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 language | English |
|---|---|
| Title of host publication | Proceedings of the 2nd International Workshop on Decision Making and Recommender Systems (DMRS 2015), 22-23 October 2015, Bolzano, Italy |
| Editors | Mouhzi Ge, Francesco Ricci |
| Place of Publication | Bolzano-Bozen |
| Publisher | Free University of Bozen Bolzano |
| Pages | 5-8 |
| Publication status | Published - 10 Dec 2015 |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Volume | 1533 |
| ISSN (Print) | 1613-0073 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- Recommender systems
- energy advice
- Rasch model
- energy efficiency
- energy curtailment
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