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    Smart energy usage and visualization based on micro-moments

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    Date
    2020
    Author
    Alsalemi, Abdullah
    Bensaali, Faycal
    Amira, Abbes
    Fetais, Noora
    Sardianos, Christos
    Varlamis, Iraklis
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    Abstract
    Due 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.
    DOI/handle
    http://dx.doi.org/10.1007/978-3-030-29513-4_41
    http://hdl.handle.net/10576/37825
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    • Electrical Engineering [‎2821‎ items ]
    • Information Intelligence [‎98‎ items ]

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