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Global Energy Forecasting Competition 2012

  • Tao Hong
  • , Pierre Pinson
  • , Shu Fan
  • SAS Institute, Inc.
  • Monash University

Research output: Contribution to journal › Journal article › Research › peer-review

Abstract

The Global Energy Forecasting Competition (GEFCom2012) attracted hundreds of participants worldwide, who contributed many novel ideas to the energy forecasting field. This paper introduces both tracks of GEFCom2012, hierarchical load forecasting and wind power forecasting, with details on the aspects of the problem, the data, and a summary of the methods used by selected top entries. We also discuss the lessons learned from this competition from the organizers’ perspective. The complete data set, including the solution data, is published along with this paper, in an effort to establish a benchmark data pool for the community.
Original languageEnglish
JournalInternational Journal of Forecasting
Volume30
Issue number2
Pages (from-to)357-363
Number of pages7
ISSN0169-2070
DOIs
Publication statusPublished - 2014

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