@inproceedings{ monacchi_greend:_2014,
  address = {Venice, Italy},
  title = {{GREEND}: An Energy Consumption Dataset of Households in Italy and Austria},
  shorttitle = {{GREEND}},
  url = {http://arxiv.org/abs/1405.3100},
  abstract = {Home energy management systems can be used to monitor and optimize consumption and local production from renewable energy. To assess solutions before their deployment, researchers and designers of those systems demand for energy consumption datasets. In this paper, we present the {GREEND} dataset, containing detailed power usage information obtained through a measurement campaign in households in Austria and Italy. We provide a description of consumption scenarios and discuss design choices for the sensing infrastructure. Finally, we benchmark the dataset with state-of-the-art techniques in load disaggregation, occupancy detection and appliance usage mining.},
  urldate = {2014-07-11TZ},
  booktitle = {In proceedings of the 5th {IEEE} International Conference on Smart Grid Communications},
  publisher = {{IEEE}},
  author = {Monacchi, Andrea and Egarter, Dominik and Elmenreich, Wilfried and D'Alessandro, Salvatore and Tonello, Andrea M.},
  month = {May},
  year = {2014},
  note = {{arXiv}: 1405.3100},
  keywords = {Computer Science - Other Computer Science}
}

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