• DocumentCode
    3734244
  • Title

    Energy forecasting and modelling in rural areas

  • Author

    Irene Koronaki;Tatsiana Hubina;Kostas Kalaboukas;George Markogiannakis;Hamodrakas Giannis;Maja Skrjanc;Klemen Kenda;Simon Mokorel;Steffen Nienke;Caterina Calefato

  • Author_Institution
    School of Mechanical Engineering, National Technical University of Athens, Zografou, Hellas
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Energy forecasting and modeling in rural areas is accomplished through NRG4CAST platform through which a set of real-time prediction and trend detection services are developed based on advanced machine learning, trend detection, prediction, optimisation and reasoning capabilities in order to provide to stakeholders unique service for energy consumption, network failure and energy prices prediction. In order to build up reliable services different type of information are assessed and combined from internal and external sources: historical and current information from the local energy distribution network (energy consumption and network devices status), information about the local environment (natural and social), energy prices (national and international).
  • Keywords
    "Energy consumption","Real-time systems","Data visualization","Buildings","Sensors","Monitoring","Market research"
  • Publisher
    ieee
  • Conference_Titel
    Information, Intelligence, Systems and Applications (IISA), 2015 6th International Conference on
  • Type

    conf

  • DOI
    10.1109/IISA.2015.7388058
  • Filename
    7388058