This is the registration form for BigDEAL Challenge 2022. Please feel free to forward the link (https://tinyurl.com/yc835zp5) to anyone you think might be interested.
The theme of BigDEAL Challenge 2022 is peak load forecasting. The competition includes a qualifying match and a final match.
Each team will include up to four team members. All team members should fill in the form.
The qualifying match is ex post one-year ahead forecasting. The match includes three tracks: 1) H (hourly loads of one year); 2) M (magnitude of 365 daily peaks); and 3) T (timing of 365 daily peaks). Winners of the qualifying match will be invited to the final match. Additional details and instructions will be released together with the qualifying match data on Oct 31, 2022.
The final match is ex ante day ahead peak load forecasting. The data will be released on rolling basis. Forecasts from the finalists will be judged based on magnitude and timing of daily peaks. Additional details and instructions will be released together with the final match data on Nov 15, 2022.
Every team qualifying the final match will be invited to submit a paper to IET Smart Grid describing the methodology used in the competition. Selected winning team(s) will receive waiver of Article Processing Charges.
- Registration Open: Oct 4, 2022
- Registration Close: Oct 29, 2022
- Qualifying Match Data Release: Oct 31, 2022
- Qualifying Match Submission Due: Nov 10, 2022
- Qualifying Match Results Announcement: Nov 14, 2022
- Final Match 1st Data Release: Nov 15, 2022
- Final Match Submission Due: Dec 7, 2022
- Final Match Results Announcement: Dec 12, 2022
Tao Hong, PhD
Duke Energy Distinguished Professor and NCEMC Faculty Fellow of Energy Analytics
Director of Big Data Energy Analytics Laboratory (BigDEAL)
Department of Systems Engineering and Engineering Management
University of North Carolina at Charlotte
hong "AT" uncc.edu