Data mining software process used to identify power quality event traces

Authors

  • Dan Apetrei Author
  • Ralf Neurohr Author
  • Mihaela Albu Author
  • Petru Postolache Author
  • Valentin Rascanu Author
  • Nicolae Golovanov Author
  • Ioan Silvas Author

DOI:

https://doi.org/10.24084/repqj09.484

Abstract

Power quality data gathered on-site are referred to specific standards to check if the power parameters are within the prescribed limits. From voltage or frequency time series, events are usually extracted based on fixed thresholds. The paper analyses an alternative based on data mining to the classical approach. Positive effects of the new approach are named and investigated.

Author Biographies

  • Dan Apetrei

    SC Electrica SA, str. Grigore Alexandrescu nr. 9, Bucharest, 011621 Romania; e-mail:

    dan.apetrei@electrica.ro

  • Ralf Neurohr

    Politehnica” University of Bucharest, Splaiul Independenţei nr.313, Bucharest 060042 Romania e-mail:

    ralf.neurohr@gmail.com

  • Mihaela Albu

    Politehnica” University of Bucharest, Splaiul Independenţei nr.313, Bucharest 060042 Romania e-mail:

    albu@ieee.org

  • Petru Postolache

    ”Politehnica” University of Bucharest, Splaiul Independenţei nr.313, Bucharest 060042 Romania e-mail:

    postolachepetru@yahoo.com

  • Valentin Rascanu

    ”Politehnica” University of Bucharest, Splaiul Independenţei nr.313, Bucharest 060042 Romania e-mail:

    vrascanu@yahoo.com

  • Nicolae Golovanov

    Politehnica” University of Bucharest, Splaiul Independenţei nr.313, Bucharest 060042 Romania e-mail:

    nicolae_golovanov@yahoo.com

  • Ioan Silvas

    SC Electrica SA, str. Grigore Alexandrescu nr. 9, Bucharest, 011621 Romania; e-mail:

    ioan.silvas@electrica.ro

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Published

2024-01-17

Issue

Section

Articles