Efficient Sparse Matrix Processing for Nonintrusive Load Monitoring ( NILM )

@inproceedings{Makonin2014EfficientSM,
  title={Efficient Sparse Matrix Processing for Nonintrusive Load Monitoring ( NILM )},
  author={Stephen Makonin and Ivan V. Bajic and Fred Popowich},
  year={2014}
}
Nonintrusive load monitoring (NILM) is a process of discerning what appliances are running within a house from processing the power or current signal of a smart meter. Since appliance states are not observed directly, hidden Markov models (HMM) are a natural choice for modelling NILM appliances. However, because the number of HMM states grows rapidly with the number of appliances and their internal states, existing methods have relied on either simplifying the model (e.g. factorial HMM) or… CONTINUE READING

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