BigDEAL Challenge 2022: Forecasting peak timing of electricity demand

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IET Smart Grid Pub Date : 2024-03-23 DOI:10.1049/stg2.12162
Shreyashi Shukla, Tao Hong
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Abstract

Peak 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.

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BigDEAL 2022 挑战赛:预测电力需求高峰时间
高峰负荷预测对电力系统规划和运行至关重要。虽然文献报道了许多关于预测高峰负荷规模的研究,但很少有研究关注时间方面。2022 年秋季,大数据能源分析实验室(BigDEAL)组织了 BigDEAL Challenge 2022,专门研究短期事前峰值时间预测。比赛吸引了来自 27 个国家的 121 名参赛者组成的 78 支队伍。作者详细介绍了此次竞赛,包括其在 2010 年代举办的前身竞赛、框架和设置,以及参赛者使用的方法摘要。作者还在发表本文的同时公布了 2022 年 BigDEAL 挑战赛的数据。最后,作者对高峰时间预测的研究挑战和未来的负荷预测竞赛提出了自己的观点。
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来源期刊
IET Smart Grid
IET Smart Grid Computer Science-Computer Networks and Communications
CiteScore
6.70
自引率
4.30%
发文量
41
审稿时长
29 weeks
期刊最新文献
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