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AuthorAlsalemi, Abdullah
AuthorBensaali, Faycal
AuthorAmira, Abbes
AuthorFetais, Noora
AuthorSardianos, Christos
AuthorVarlamis, Iraklis
Available date2022-12-29T07:34:43Z
Publication Date2020
Publication NameAdvances in Intelligent Systems and Computing
ResourceScopus
URIhttp://dx.doi.org/10.1007/978-3-030-29513-4_41
URIhttp://hdl.handle.net/10576/37825
AbstractDue to global energy demands and overwhelming environmental dilemmas, exorbitant domestic energy usage is a colossal barrier towards energy efficiency. Tremendous research efforts have been poured into a plethora of methods for behavioral change. However, there is an expanse of opportunity to capitalize on evidence-based, technology-enabled energy efficiency solutions. Therefore, we present a novel application that effectively visualizes domestic energy data, presents meaningful and simplified benchmarks pertaining the efficiency of the end-user's usage, and contextually presents micro-moment based recommendations for better energy efficiency. The solution is part of a larger Consumer Engagement Towards Energy Saving Behavior by means of Exploiting Micro Moments and Mobile Recommendation Systems (EM)3 platform. Simulated and real energy data tests signifies the premise of the application and pinpoints areas of future work including more comprehensive data visualization, a richer recommendation system, and a full-fledged micro-moment behavior observer. Springer Nature Switzerland AG 2020.
SponsorThis paper was made possible by National Priorities Research Program (NPRP) grant No. 10-0130-170288 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
Languageen
PublisherSpringer Verlag
SubjectData visualization
Domestic energy usage
Energy efficiency
Recommender systems
TitleSmart energy usage and visualization based on micro-moments
TypeConference Paper
Pagination557-566
Volume Number1038
dc.accessType Abstract Only


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