mlsanityData to 7 Oct 2026

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

arXiv 2307.09248 ↗First posted 18 Jul 2023cs.LG eess.SPcited by 2

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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

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 13 of its 19 references that are in the map. First posted on arXiv 18 Jul 2023.

Builds on

13 of 19 references.

References · 13

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2020Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecastingcited by 2,141
  3. 2021Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecastingcited by 1,654
  4. 2015Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcastingcited by 1,428
  5. 2017Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecastingcited by 1,125
  6. 2019Graph WaveNet for Deep Spatial-Temporal Graph Modelingcited by 820
  7. 2019Graph Transformer Networkscited by 520
  8. 2022Transformers in Time Series: A Surveycited by 489
  9. 2022SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting Challenge at KDD Cup 2022cited by 21
  10. 2021Deep Graph Convolutional Networks for Wind Speed Predictioncited by 19
  11. 2020Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Predictioncited by 5
  12. 2021Deep Spatio-Temporal Wind Power Forecastingcited by 3
1 more
  1. 2021Wind Power Projection using Weather Forecasts by Novel Deep Neural Networkscited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.

  1. 2025Interpretable Dual-Stream Learning for Local Wind Hazard Prediction in Vulnerable Communitiescited by 0
  2. 2026Modeling spatio-temporal locality in multi-step forecasting of geo-referenced time seriescited by 0