Application of BERT in Wind Power Forecasting-Teletraan's Solution in Baidu KDD Cup 2022
This is an incremental improvement for power grid operators to enhance sustainability and security through better forecasting.
The paper tackled wind power forecasting by applying BERT with post-processing for daily periodicity, achieving 3rd place out of 2490 teams in the Baidu KDD Cup 2022.
Nowadays, wind energy has drawn increasing attention as its important role in carbon neutrality and sustainable development. When wind power is integrated into the power grid, precise forecasting is necessary for the sustainability and security of the system. However, the unpredictable nature and long sequence prediction make it especially challenging. In this technical report, we introduce the BERT model applied for Baidu KDD Cup 2022, and the daily fluctuation is added by post-processing to make the predicted results in line with daily periodicity. Our solution achieves 3rd place of 2490 teams. The code is released athttps://github.com/LongxingTan/KDD2022-Baidu