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KEV0143
alandzgoev
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.
Model DevelopmentDataset engineeringDomain-specific trainingPython
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Created 2025-09-15 · Updated 2026-09-29 · #9531 today
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