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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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