Temporal Transformation in Data Resolution Using Generative Adversarial Transformers

⚠️ Note: Last update on 31.01.2026

This repository is the official code of the paper "Self-Supervised Temporal Super-Resolution of Energy Data using Generative Adversarial Transformer"

1. Introduction ResampleGAN

In Process

2. Citation 📝

If you use this framework in your research, please consider citing our paper 📝 and giving the repository a star ⭐:

@misc{mu2025selfsupervisedtemporalsuperresolutionenergy,
      title={Self-Supervised Temporal Super-Resolution of Energy Data using Generative Adversarial Transformer}, 
      author={Xuanhao Mu and Gökhan Demirel and Yuzhe Zhang and Jianlei Liu and Thorsten Schlachter and Veit Hagenmeyer},
      year={2025},
      eprint={2508.10587},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2508.10587}, 
}

License

This code is licensed under the MIT License. For any issues or any intention of cooperation, please feel free to contact me at xuanhao.mu@kit.edu.