The complete implementation of the TCOAT model is provided in model_tcoat.py within this repository.

🚩 News (2025.08): TCOAT has been included in [pyFAST]. For implementation details, see the TCOAT model code in pyFAST's MTS module.

• Python 3.10+
• PyTorch 2.0.0+

If you find this work useful in your research, please use the following citation formats:

BibTeX format:

@article{art/apen2024/357Hu,
    author = {Hu, Yue and Liu, Hanjing and Wu, Senzhen and Zhao, Yuan and Wang, Zhijin and Liu, Xiufeng},
    title = {Temporal Collaborative Attention for Wind Power Forecasting},
    journal = {Applied Energy},
    volume = {357},
    pages = {122502},
    year = {2024},
    doi = {10.1016/j.apenergy.2023.122502},
}

APA/Plain format:

Yue Hu, Hanjing Liu, Senzhen Wu, Yuan Zhao, Zhijin Wang, and Xiufeng Liu. 2024. Temporal Collaborative Attention for
Wind Power Forecasting. Applied Energy, 357, 122502. https://doi.org/10.1016/j.apenergy.2023.122502

We appreciate the following GitHub repos a lot for their valuable code and efforts.

• pyFAST (https://github.com/freepose/pyFAST)
• CTRL (https://github.com/yuehu-xm/CTRL)

If you have any questions or suggestions, feel free to contact me at [email protected].