Electric Power System Anomaly Detection Using Neural Networks

@inproceedings{Martinelli2004ElectricPS,
  title={Electric Power System Anomaly Detection Using Neural Networks},
  author={Marco Martinelli and Enrico Tronci and Giovanni Dipoppa and Claudio Balducelli},
  booktitle={KES},
  year={2004}
}
The aim of this work is to propose an approach to monitor and protect Electric Power System by learning normal system behaviour at substations level, and raising an alarm signal when an abnormal status is detected; the problem is addressed by the use of autoassociative neural networks, reading substation measures. Experimental results show that, through the proposed approach, neural networks can be used to learn parameters underlaying system behaviour, and their output processed to detecting… CONTINUE READING
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Neural Networks: A comprehensive Fundation (2nd Edition)

  • S. Haykin
  • 1998

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