Anomaly detection for visual analytics of power consumption data

@article{Janetzko2014AnomalyDF,
  title={Anomaly detection for visual analytics of power consumption data},
  author={Halld{\'o}r Janetzko and Florian Stoffel and Sebastian Mittelst{\"a}dt and Daniel A. Keim},
  journal={Computers & Graphics},
  year={2014},
  volume={38},
  pages={27-37}
}
Commercial buildings are significant consumers of electrical power. Also, energy expenses are an increasing cost factor. Many companies therefore want to save money and reduce their power usage. Building administrators have to first understand the power consumption behavior, before they can devise strategies to save energy. Second, sudden unexpected changes in power consumption may hint at device failures of critical technical infrastructure. The goal of our research is to enable the analyst to… CONTINUE READING
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