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Computer Science - Research and Development

, Volume 33, Issue 1–2, pp 241–243 | Cite as

Poster abstract: Is the run-time of domestic appliances predictable?

  • Patrick Huber
  • Paul Schmieder
  • Mario Gerber
  • Andreas Rumsch
Special Issue Paper
  • 125 Downloads

Abstract

Run-time forecasting or modeling of domestic appliances has gained more attention in recent years. Comparing currently published works though is difficult due to many differently employed datasets and performance measures. Our long-term aim is to facilitate future work by comparing known approaches on different datasets. Initial results from one method Barbato et al. (in: IEEE International Conference on Smart Grid Communications (SmartGridComm), pp 404–409, 2011) indicate that it is not suitable for the prediction of appliance usage.

Keywords

Forecasting Domestic appliance Experimental comparison 

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Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  • Patrick Huber
    • 1
  • Paul Schmieder
    • 1
  • Mario Gerber
    • 1
  • Andreas Rumsch
    • 1
  1. 1.Lucerne University of Applied Sciences and Arts, iHomeLabHorwSwitzerland

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