ASA Connect

Data Challenge Competition for

The INFORMS Conference on Quality, Statistics, and Reliability (ICQSR), Shanghai, China, from July 5–9, 2026 

Data to Clean Power: Wind Turbine Forecasting Challenge

1.     Introduction

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).

2.     Objective

The primary objective of this data challenge 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: 1) the accuracy of the methods; 2) the suitability and innovation of the used methodology; 3) the insights derived from the model; 4) the clarity, technical correctness and completeness of the report and the presentation.

3.     Competition Schedule

All deadlines are 23:59 AOE (Anywhere on Earth):

4.     Eligibility Rule:

1)     Team of up to 3 participants may participate in this challenge.

2)     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.

3)     Each finalist team must have at least one member register for the 4th INFORMS Conference on Quality, Statistics, and Reliability (sites.google.com/view/icqsr2026)  and attend the data competition workshop to present live at the workshop on July 5.

5.     Submission Details

1)     The submission should consist of a report along with the source code used to generate figures and tables in the report. The report should not exceed 25 pages (A4 size/letter size), excluding references. It should clearly highlight your methodology, assumptions, preprocessing steps, and implementation details. The prediction outcome on the test dataset should also be submitted. Please put all predicted measurement values on the test data in a single CSV file following the data format of the output data. Participants can use any coding language to solve the problem.

2)     All submissions should contain a single zip file named "ICQSR2026_Data_Teamname.zip" and emailed to Yanting Li (ytli@sjtu.edu.cn) by June 15 2026, anywhere on earth.

6.     Data Challenge Registration

Registration opens: April 15, 2026

Registration deadline: May 30, 2026 (AOE)

Official Registration Link: ICQSR Data Challenge Registration Form

Registered participants will receive the dataset download link after the registration.

7.     Organizing Committee

Yanting Li, Professor, Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China. Email: ytli@sjtu.edu.cn

Sukjoo Bae, Professor, Department of Industrial Engineering, Hanyang University, Seoul, Korea. Email: sjbae@hanyang.ac.kr

Chen Zhang, Associate Professor, Department of Industrial Engineering, Tsinghua University, Beijing, China. Email: zhangchen01@tsinghua.edu.cn 

P.S. the message was posted on behalf of the organizing committee. 

Attachment(s)

INFORMS ICQSR 2026 data Challenge-5page-Full.pdf   205 KB 1 version

INFORMS ICQSR 2026 data Challenge 2page-Flyer.pdf   143 KB 1 version