BigDEAL Challenge 2022: Forecasting peak timing of electricity demand

Author:

Shukla Shreyashi1,Hong Tao1ORCID

Affiliation:

1. University of North Carolina at Charlotte Charlotte North Carolina USA

Abstract

AbstractPeak load forecasting is crucial to power system planning and operations. While the literature has reported many studies on forecasting the magnitude of peak load, few have focused on the timing aspect. In the fall of 2022, the Big Data Energy Analytics Laboratory (BigDEAL) organised the BigDEAL Challenge 2022, which was devoted to short‐term ex‐ante peak timing forecasting. The competition attracted 78 teams formed by 121 contestants from 27 countries. The authors introduce the competition in detail, including its precursor competitions held in the 2010s, the framework and setup, and a summary of the methods used by the participants. The authors also publish the data of the BigDEAL Challenge 2022 along with this paper. Lastly, the authors present their perspective on the research challenges of peak timing forecasting and future load forecasting competitions.

Publisher

Institution of Engineering and Technology (IET)

Reference21 articles.

1. Energy Forecasting: A Review and Outlook

2. A brief history of forecasting competitions (vol 36, pg 7, 2019);Hyndman R.J.;Int. J. Forecast.,2021

3. The accuracy of extrapolation (time series) methods: Results of a forecasting competition

4. The M5 competition: Conclusions

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