erickCantu/TheGreenCitySolutionsGroup
Forecasting building energy demand through time series analysis and machine learning.
This project helps urban planners, energy managers, and utility companies predict the hourly energy consumption of various city buildings like offices, restaurants, and retail spaces. By inputting historical energy usage and weather data, it generates a 24-hour forecast of future energy demand. This allows professionals to make informed decisions for grid stability, power supply planning, and identifying energy-saving opportunities.
Use this if you need to accurately forecast hourly energy demand for multiple urban buildings to optimize energy management and reduce waste.
Not ideal if you require very long-range energy demand predictions (beyond 24 hours) or are working with different types of energy data, such as industrial process energy consumption.
Stars
11
Forks
5
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 14, 2026
Commits (30d)
0
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