An Approach of Household Power Appliance Monitoring Based on Machine Learning

@article{Jiang2012AnAO,
  title={An Approach of Household Power Appliance Monitoring Based on Machine Learning},
  author={Lei Jiang and Suhuai Luo and Jiaming Li},
  journal={2012 Fifth International Conference on Intelligent Computation Technology and Automation},
  year={2012},
  pages={577-580}
}
Monitoring household electrical consumption by employing appropriate techniques is of great significance to sustainable development of human society. This paper proposes one approach of nonintrusive appliance load monitoring (NIALM) for electrical consumption managing. This approach can automatically monitor the house power consumption of individual devices. It employs multiple-class support vector machine (M-SVM) to recognize different appliances. The approach is consisted of two stages. In… CONTINUE READING
Highly Cited
This paper has 23 citations. REVIEW CITATIONS