https://github.com/cosbidev/matnet
Multi-Level Fusion and Self-Attention Transformer-Based Model for Multivariate Multi-Step Day-Ahead PV Generation Forecasting
https://github.com/cosbidev/matnet
forecasting pv-generation pytorch self-attention time-series transformer
Last synced: 8 months ago
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Multi-Level Fusion and Self-Attention Transformer-Based Model for Multivariate Multi-Step Day-Ahead PV Generation Forecasting
- Host: GitHub
- URL: https://github.com/cosbidev/matnet
- Owner: cosbidev
- License: mit
- Created: 2023-03-26T17:00:18.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-03-05T07:42:05.000Z (over 1 year ago)
- Last Synced: 2024-11-09T23:28:35.031Z (11 months ago)
- Topics: forecasting, pv-generation, pytorch, self-attention, time-series, transformer
- Language: Python
- Homepage:
- Size: 82.3 MB
- Stars: 4
- Watchers: 2
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# MATNet
Multi-Level Fusion and Self-Attention Transformer-Based Model for Multivariate Multi-Step Day-Ahead PV Generation Forecasting
## Contact
For questions and comments, feel free to contact me: [m.tortora@unicampus.it](mailto:m.tortora@unicampus.it)
## Citation
If you use our code in your study, please cite as:
[Tortora, M., Conte, F., Natrella, G., & Soda, P. (2023). MATNet: Multi-Level Fusion Transformer-Based Model for Day-Ahead PV Generation Forecasting.](https://arxiv.org/abs/2306.10356)
## License
MATNet is distributed under a [MIT Licence](https://github.com/cosbidev/MATNet/blob/main/LICENSE).