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PRIYANSH-2004/Predict_Eelectricity_demand

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This project implements an advanced machine learning solution for forecasting electricity demand within the Kansai Electric Power jurisdiction in Japan. The forecasting model combines sophisticated time series analysis, weather data integration, and ensemble learning techniques to predict hourly electricity consumption patterns throughout 2023.

active 2025-02-202025-02-21 (UTC)

Complete coverage27,137 / 27,139 hourly files (100%) · 2 absent upstream2023-08-152026-09-18 (UTC)
Events
7
Pushes
3
Pull requests
0
Issues
0
Stars
0
Forks
0

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Line chart, 2 days from 2025-02-20 to 2025-02-21. Pushes: 3 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

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PRIYANSH-20043300

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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.