• DocumentCode
    1795605
  • Title

    GREEND: An energy consumption dataset of households in Italy and Austria

  • Author

    Monacchi, Andrea ; Egarter, Dominik ; Elmenreich, Wilfried ; D´Alessandro, Salvatore ; Tonello, Andrea M.

  • Author_Institution
    Inst. of Networked & Embedded Syst., Alpen-Adria-Univ. Klagenfurt, Klagenfurt, Austria
  • fYear
    2014
  • fDate
    3-6 Nov. 2014
  • Firstpage
    511
  • Lastpage
    516
  • Abstract
    Home energy management systems can be used to monitor and optimize consumption and local production from renewable energy. To assess solutions before their deployment, researchers and designers of those systems demand for energy consumption datasets. In this paper, we present the GREEND dataset, containing detailed power usage information obtained through a measurement campaign in households in Austria and Italy. We provide a description of consumption scenarios and discuss design choices for the sensing infrastructure. Finally, we benchmark the dataset with state-of-the-art techniques in load disaggregation, occupancy detection and appliance usage mining.
  • Keywords
    domestic appliances; energy consumption; load management; power measurement; renewable energy sources; Austria; GREEND dataset; Italy; appliance usage mining; home energy management systems; households energy consumption dataset; load disaggregation; renewable energy; Energy consumption; Floors; Green products; Hidden Markov models; Home appliances; Monitoring; TV;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Communications (SmartGridComm), 2014 IEEE International Conference on
  • Conference_Location
    Venice
  • Type

    conf

  • DOI
    10.1109/SmartGridComm.2014.7007698
  • Filename
    7007698