Application of BERT in Wind Power Forecasting-Teletraan's Solution in
  Baidu KDD Cup 2022
Longxing Tan Hongying Yue
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