# Application of BERT in Wind Power Forecasting-Teletraan's Solution in Baidu KDD Cup 2022

arXiv: https://arxiv.org/abs/2307.09248 · HTML: https://mlsanity.com/paper/2307.09248/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 13 of its 19 references that are in the map.
- First posted on arXiv 18 Jul 2023.

## Builds on (most cited first, 13 of 13)

- [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://mlsanity.com/paper/1810.04805/) (2018)
- [Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting](https://mlsanity.com/paper/2012.07436/) (2020)
- [Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting](https://mlsanity.com/paper/2106.13008/) (2021)
- [Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting](https://mlsanity.com/paper/1506.04214/) (2015)
- [Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting](https://mlsanity.com/paper/1709.04875/) (2017)
- [Graph WaveNet for Deep Spatial-Temporal Graph Modeling](https://mlsanity.com/paper/1906.00121/) (2019)
- [Graph Transformer Networks](https://mlsanity.com/paper/1911.06455/) (2019)
- [Transformers in Time Series: A Survey](https://mlsanity.com/paper/2202.07125/) (2022)
- [SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting Challenge at KDD Cup 2022](https://mlsanity.com/paper/2208.04360/) (2022)
- [Deep Graph Convolutional Networks for Wind Speed Prediction](https://mlsanity.com/paper/2101.10041/) (2021)
- [Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction](https://mlsanity.com/paper/2012.09624/) (2020)
- [Deep Spatio-Temporal Wind Power Forecasting](https://mlsanity.com/paper/2109.14530/) (2021)
- [Wind Power Projection using Weather Forecasts by Novel Deep Neural Networks](https://mlsanity.com/paper/2108.09797/) (2021)

## Built on by (most cited first, 2 of 2)

- [Interpretable Dual-Stream Learning for Local Wind Hazard Prediction in Vulnerable Communities](https://mlsanity.com/paper/2505.14522/) (2025)
- [Modeling spatio-temporal locality in multi-step forecasting of geo-referenced time series](https://mlsanity.com/paper/2608.25698/) (2026)

## Abstract (arXiv)

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