
Rank #4,045 1,765 starsPython
Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost
by KEV0143 (personal account)
A comprehensive time-series benchmark evaluating state-of-the-art deep learning architectures (PatchTST, TFT, N-HiTS) against traditional gradient boosting (CatBoost) for accurate 24-hour load prediction. (description from the project’s GitHub page)
Repository facts
- Stars
- 1,765
- Forks
- 0
- Open issues and pull requests
- 0
- Primary language
- Python
- License
- Apache License 2.0 (Apache-2.0)
- Owner
- KEV0143 · Personal account
- Created
- Sep 15, 2025
- Last push
- Jul 25, 2026
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