BetaRare
KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost
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.
- Owner
- KEV0143 (personal account)
- Stars
- Stars: 1,764
- Forks
- Forks: 0
- Language
- Python
- License
- Apache-2.0
- Created
- 2025
- Tier
- Beta (700 to 1,999 ★) What this tier means
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