Repository: KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost
Description: 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.
Language: Python
License: Apache License 2.0
Stars: 1597.0 | Forks: 0.0 | Open issues: 0.0
Created: 2025-09-15 20:48:57
Owner: KEV0143 (Russia)