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Household electricity demand forecasting: benchmarking state-of-the-art methods

Published:11 June 2014Publication History

ABSTRACT

We benchmark state-of-the-art methods for forecasting electricity demand on the household level. Our evaluation is based on two data sets containing the power usage on the individual appliance level. Our results indicate that without further refinement the considered advanced state-of-the-art forecasting methods rarely beat corresponding persistence forecasts. Therefore, we also provide an exploration of promising directions for future research.

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    • Published in

      cover image ACM Conferences
      e-Energy '14: Proceedings of the 5th international conference on Future energy systems
      June 2014
      326 pages
      ISBN:9781450328197
      DOI:10.1145/2602044

      Copyright © 2014 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 11 June 2014

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      e-Energy '14 Paper Acceptance Rate23of112submissions,21%Overall Acceptance Rate160of446submissions,36%

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