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Generated sky blue orbit artwork for KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost, labeled USASI · AI on GitHub, with Personal account · Python · Apache-2.0.
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)

View on GitHub (external site: github.com)

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

Rank #4,045 of 9,507 in AI on GitHub, by stars. Data from the GitHub API, fetched Oct 18, 2026; star counts change daily. Stars measure popularity, not quality or safety, and a listing is not an endorsement. How this list is made

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