Power Utility Nontechnical Loss Analysis With Extreme Learning Machine Method

@article{Nizar2008PowerUN,
  title={Power Utility Nontechnical Loss Analysis With Extreme Learning Machine Method},
  author={A. H. Nizar and Z. Y. Dong and Yezhou Wang},
  journal={IEEE Transactions on Power Systems},
  year={2008},
  volume={23},
  pages={946-955}
}
This paper presents a new approach to nontechnical loss (NTL) analysis for utilities using the modern computational technique extreme learning machine (ELM). Nontechnical losses represent a significant proportion of electricity losses in both developing and developed countries. The ELM-based approach presented here uses customer load-profile information to expose abnormal behavior that is known to be highly correlated with NTL activities. This approach provides a method of data mining for this… CONTINUE READING
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Generalized Inverse of Matrices and its Applications

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