electricity_load_forecasting MelihOrel · COMPLETED
⚡ An advanced time-series forecasting pipeline designed to predict electricity load demand. By leveraging machine learning models and exploratory data analysis, this project aims to optimize energy grid management, reduce operational costs, and ensure efficient power distribution. 🔋📈
github.com/MelihOrel/electricity_load_forecasting · ★ 2 · Forks 0 · Size 2.7 MB
SUMMARY
Technologies 5
Scored 5
Observed 5
Practices 6
Evidence 6
Skips 0
COVERAGE
Analyzed 27 files · 3 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
13 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 74
9 files · PRODUCTION
pandas LIBRARY Depth 74
10 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-06-20
Last commit 2026-06-20
Active months 1
Commits 3