Advanced tools for electricity consumption monitoring

Authors

  • M. Domínguez SUPPRESS Research Group, University of León Escuela de Ingenierías Author
  • J.J. Fuertes SUPPRESS Research Group, University of León Escuela de Ingenierías Author
  • S. Alonso SUPPRESS Research Group, University of León Escuela de Ingenierías Author
  • M.A. Prada SUPPRESS Research Group, University of León Escuela de Ingenierías Author
  • A. Morán SUPPRESS Research Group, University of León Escuela de Ingenierías Author
  • P. Barrientos SUPPRESS Research Group, University of León Escuela de Ingenierías Author

DOI:

https://doi.org/10.24084/repqj10.339

Keywords:

Electricity consumption, monitoring tools, electrical models, Self-Organizing Map (SOM), Isometric Feature Mapping (ISOMAP)

Abstract

In this work, the power monitoring system developed at the University of León is presented. This system includes both traditional and advance monitoring tools based on statistical and data mining techniques. These techniques exploit data in order to search electrical patterns, detect anomalies, predict future consumption, optimize power, etc. Some results obtained from the monitoring system during year 2010 are presented.

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Published

2024-01-16

Issue

Vol. 10 No. 3 (2012)

Section

Articles