Metadata for Energy Disaggregation

Metadata for Energy Disaggregation. Kelly, J. & Knottenbelt, W. arXiv:1403.5946 [cs], March, 2014.

Energy disaggregation is the process of estimating the energy consumed by individual electrical appliances given only a time series of the whole-home power demand. Energy disaggregation researchers require datasets of the power demand from individual appliances and the whole-home power demand. Multiple such datasets have been released over the last few years but provide metadata in a disparate array of formats including CSV files and plain-text README files. At best, the lack of a standard metadata schema makes it unnecessarily time-consuming to write software to process multiple datasets and, at worse, the lack of a standard means that crucial information is simply absent from some datasets. We propose a metadata schema for representing appliances, meters, buildings, datasets, prior knowledge about appliances and appliance models. The schema is relational and provides a simple but powerful inheritance mechanism.

@article{ kelly_metadata_2014,
  title = {Metadata for Energy Disaggregation},
  url = {http://arxiv.org/abs/1403.5946},
  abstract = {Energy disaggregation is the process of estimating the energy consumed by individual electrical appliances given only a time series of the whole-home power demand. Energy disaggregation researchers require datasets of the power demand from individual appliances and the whole-home power demand. Multiple such datasets have been released over the last few years but provide metadata in a disparate array of formats including {CSV} files and plain-text {README} files. At best, the lack of a standard metadata schema makes it unnecessarily time-consuming to write software to process multiple datasets and, at worse, the lack of a standard means that crucial information is simply absent from some datasets. We propose a metadata schema for representing appliances, meters, buildings, datasets, prior knowledge about appliances and appliance models. The schema is relational and provides a simple but powerful inheritance mechanism.},
  urldate = {2014-04-17TZ},
  journal = {{arXiv}:1403.5946 [cs]},
  author = {Kelly, Jack and Knottenbelt, William},
  month = {March},
  year = {2014},
  keywords = {Computer Science - Databases, H.3}
}

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