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https://github.com/amir-tav/time-series-energy-consumption-
This project uses XGBoost to predict hourly energy consumption based on historical data, leveraging time-based features like hour, day of week, and month.
https://github.com/amir-tav/time-series-energy-consumption-
feature-engineering forecasting machine-learning python regression time-series xgboost
Last synced: about 1 month ago
JSON representation
This project uses XGBoost to predict hourly energy consumption based on historical data, leveraging time-based features like hour, day of week, and month.
- Host: GitHub
- URL: https://github.com/amir-tav/time-series-energy-consumption-
- Owner: Amir-Tav
- License: mit
- Created: 2024-11-24T18:13:25.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2024-11-24T18:59:49.000Z (about 1 month ago)
- Last Synced: 2024-11-24T19:38:23.222Z (about 1 month ago)
- Topics: feature-engineering, forecasting, machine-learning, python, regression, time-series, xgboost
- Language: Jupyter Notebook
- Homepage:
- Size: 1.25 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0