Identification and detection of electricity customer behaviour irregularities

@article{Nizar2009IdentificationAD,
  title={Identification and detection of electricity customer behaviour irregularities},
  author={A. H. Nizar and Zhao Yang Dong},
  journal={2009 IEEE/PES Power Systems Conference and Exposition},
  year={2009},
  pages={1-10}
}
The present case study focusing on TNB, Malaysia's largest power utility, concentrates on load profiles as manifestations of customer behaviour. The main objective here is to base the investigation on comparing the efficacy of the Support Vector Machine (SVM) technique with the newly emerging techniques of Extreme Learning Machine (ELM) and its OS-ELM variant as means of classification and prediction in this context. Non-technical losses (NTL) represent a significant proportion of electricity… CONTINUE READING
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