• DocumentCode
    164697
  • Title

    Quality of supply data mining

  • Author

    Stander, T. ; Rens, Johan

  • Author_Institution
    Sch. for Electr. & Electron. Eng., North-West Univ., Potchefstroom, South Africa
  • fYear
    2014
  • fDate
    25-28 May 2014
  • Firstpage
    44
  • Lastpage
    48
  • Abstract
    Extracting useful network management information from a large volume of QoS data obtained all over a network can be simplified by innovative data mining techniques. The need for QoS expertise is reduced as interactive visualization by brushing and linking of datasets reveals interrelation of parameters. Data contextualization by annotated data can aid the assessment on the global level of compatibility between supply and use conditions. Data dashboards can further simplify the analysis of QoS data by recognizing the network connectivity of different sites, seasonal effects and direction of voltage waveform events.
  • Keywords
    data mining; data visualisation; power engineering computing; power supply quality; annotated data; data contextualization; data dashboards; interactive visualization; network management information; quality of supply; supply data mining quality; voltage waveform event; Data mining; Data visualization; Joining processes; Quality of service; Standards; Visualization; Voltage fluctuations; PQ; QoS; QoS reporting; SQL; compliance to compatibility; contextualization; data dashboards; data mining; interactive data visualization; network risk management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Harmonics and Quality of Power (ICHQP), 2014 IEEE 16th International Conference on
  • Conference_Location
    Bucharest
  • Type

    conf

  • DOI
    10.1109/ICHQP.2014.6842887
  • Filename
    6842887