Baidu KDD CUP 2022
Spatial Dynamic Wind Power Forecasting. This task has practical importance for the utilization of wind energy. Participants are expected to accurately estimate the wind power supply of a wind farm.

Spatial Dynamic Wind Power Forecasting Challenge

Since 1997, KDD Cup has been the premier annual Data Mining competition held in conjunction with the ACM SIGKDD Conference on Knowledge Discovery and Data Mining. This year’s KDD Cup challenge task presents interesting technical challenges and has practical importance for the utilization of wind energy. Here we propose a spatial dynamic wind power forecasting challenge to facilitate the progress of data-driven machine learning methods for wind power forecasting.

More information about the Baidu KDD Cup 2022 can be found paper!

Reference

If this dataset or the competition has been useful for your research, please consider citing the following paper :

      @article{zhou2022sdwpf,
         title={SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting Challenge at KDD Cup 2022},
         author={Zhou, Jingbo and Lu, Xinjiang and Xiao, Yixiong and Su, Jiantao and Lyu, Junfu and Ma, Yanjun and Dou, Dejing},
         journal={arXiv preprint arXiv:2208.04360},
         year={2022}}
   

Papers

Regular Track

PaddlePaddle Track