Semantic knowledge and service models for energy-aware systems

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review


    The energy domain is affected by digitalization like any other domain. Interoperability between the energy-aware devices and grid, and even market actors, are opening a vast amount of use-cases and business models for smart energy services and possibilities to make the systems more efficient. Related standards in the energy domain and neighbouring domains are numerous and knowledge modelling needs to take this already grounded work into account. This research shows how energy-related information and concepts, from weather and energy market information to sensor data, are semantically described and how services using the semantic information can manifest themselves in the same semantic way to be used in a network of energy awareness-related services.
    Original languageEnglish
    Title of host publicationGreen, Pervasive, and Cloud Computing
    EditorsMan Ho Allen Au, Kim-Kwang Raymond Choo, Kuan-Ching Li, Arcangelo Castiglione, Francesco Palmieri
    Place of PublicationCham
    ISBN (Electronic)978-3-319-57186-7
    ISBN (Print)978-3-319-57185-0
    Publication statusPublished - 1 Jan 2017
    MoE publication typeA4 Article in a conference publication
    Event12th International Conference on Green, Pervasive, and Cloud Computing, GPC 2017 - Cetara, Italy
    Duration: 11 May 201714 May 2017

    Publication series

    SeriesLecture Notes in Computer Science


    Conference12th International Conference on Green, Pervasive, and Cloud Computing, GPC 2017
    Abbreviated titleGPC 2017


    • energy-aware
    • knowledge model
    • service model
    • standards


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