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profiling-appliances

This repository is to support our paper submitted to ICIT 2016:

Daoyuan Li, Tegawendé F. Bissyandé, Sylvain Kubler, Jacques Klein, and Yves Le Traon. Profiling household appliance electricity usage with n-gram language modeling. In The 2016IEEE International Conference on Industrial Technology (ICIT 2016), Taipei, March 2016.IEEE.

How the code works

  • Prepare for dataset
  • Convert real-valued time series into texts
  • Build per-class corpus from texts
  • Calculate fitness scores (using the text segmentation techniques)
  • Make classification predictions based on segmentation fitness scores

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