ICQSR 2026 Data Challenge
Data to Clean Power: Wind Turbine
Forecasting Challenge
Introduction and Objective
- This competition focuses on wind turbine-level wind power forecasting.
- It provides a wind power forecasting (WPF) dataset covering two wind farms (each with multiple wind turbines), split into a training set and a test set.
- Using the training data, participants must predict the output power of each turbine in the test set for 288 consecutive future time steps (total 2 days).
- The primary objective is to develop a predictive model that uses the limited future meteorological variables to accurately predict the future active power output of each wind turbine.
-
A successful model will be evaluated by a panel of judges based on:
- The accuracy of the methods;
- The suitability and innovation of the used methodology;
- The insights derived from the model;
- The clarity, technical correctness, and completeness of the report and the presentation.
Eligibility and Registration
-
Eligibility Rules:
- Teams of up to 3 participants may participate in this challenge.
- To qualify for the final round submission, teams must submit predictions in the first round, which allows participants to improve model performance based on round-1 feedback.
- Important: Each finalist team must have at least one member register for the 4th ICQSR Conference and attend the data competition workshop to present live at the workshop on July 5.
-
Registration:
- Registration Opens: April 15, 2026
- Registration Deadline: May 30, 2026 (AOE)
- Registered participants will receive the dataset download link after the registration.
Competition Schedule
| Date (2026) | Event |
|---|---|
| April 15 | Data challenge registration opens |
| May 1 |
Dataset Briefing Meeting Time: May 1, 2026, 10:00 (GMT+08:00) Duration: 3 hours Platform: Tencent Meeting Meeting ID: 774115866 Passcode: 541982 Link: meeting.tencent.com/dm/7hE2JbSfWwcs |
| May 30 | Data challenge registration deadline |
| June 1 | First round prediction submission deadline (Mandatory for final round eligibility) |
| June 7 | First round prediction result prediction accuracy ranking feedback |
| June 15 | Final prediction, code and technical paper submission deadline |
| June 20 | Finalist announcement (Total 6 finalist teams) |
| July 5 | Data competition workshop (on the 1st day of ICQSR) |
Submission Details
- All submissions should contain a single zip file named ICQSR2026_Data_Teamname.zip and be emailed to Yanting Li (ytli@sjtu.edu.cn) by June 15, 2026, anywhere on earth.
-
The submission must include:
- Technical Report: Should not exceed 25 pages (A4 size/letter size), excluding references. It should clearly highlight your methodology, assumptions, preprocessing steps, and implementation details.
- Source Code: Include the source code used to generate figures and tables in the report. Participants can use any coding language to solve the problem.
- Prediction Outcome: Please put all predicted measurement values on the test data in a single CSV file following the data format of the output data.
Organizing Committee
- Yanting Li, Professor, Department of Industrial Engineering and Management, Shanghai Jiao Tong University, China. Email: ytli@sjtu.edu.cn
- Sukjoo Bae, Professor, Department of Industrial Engineering, Hanyang University, Korea. Email: sjbae@hanyang.ac.kr
- Chen Zhang, Associate Professor, Department of Industrial Engineering, Tsinghua University, China. Email: zhangchen01@tsinghua.edu.cn