Submeter based Training of Multi-class Support Vector Machines for Appliance Recognition in Home Electricity Consumption Data

@inproceedings{Mittelsdorf2013SubmeterBT,
  title={Submeter based Training of Multi-class Support Vector Machines for Appliance Recognition in Home Electricity Consumption Data},
  author={Marco Mittelsdorf and Andreas H{\"u}wel and Thole Klingenberg and Michael Sonnenschein},
  booktitle={SMARTGREENS},
  year={2013}
}
In this paper we employ smart meter and support vector machines (SVM) for the problem of recognizing household appliances’ load patterns in measured load time series, which is an important step for various applications in energy consulting, process recognition or health care applications. We present an automated data collection and preprocessing approach… CONTINUE READING