Household electricity demand forecasting - Benchmarking state-of-the-art methods

Andreas Veit, Christoph Goebel, Rohit Tidke, Christoph Doblander, Hans Arno Jacobsen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

55 Scopus citations

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.

Original languageEnglish
Title of host publicatione-Energy 2014 - Proceedings of the 5th ACM International Conference on Future Energy Systems
PublisherAssociation for Computing Machinery
Pages233-234
Number of pages2
ISBN (Print)9781450328197
DOIs
StatePublished - 2014
Event5th ACM International Conference on Future Energy Systems, e-Energy 2014 - Cambridge, United Kingdom
Duration: 11 Jun 201413 Jun 2014

Publication series

Namee-Energy 2014 - Proceedings of the 5th ACM International Conference on Future Energy Systems

Conference

Conference5th ACM International Conference on Future Energy Systems, e-Energy 2014
Country/TerritoryUnited Kingdom
CityCambridge
Period11/06/1413/06/14

Keywords

  • load forecasting
  • smart grid
  • smart home

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