Saving Energy in 1-D: Tailoring Energy-saving Advice Using a Rasch-based Energy Recommender System.

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.