AlexGiazitzis/LSTM-Power-Consumption-Forecasting
Implementation of an LSTM network in MATLAB that predicts future power consumptions of 3 zones in Tetuan City.
This project helps utility managers and city planners predict future electricity demand for different zones within a city. By inputting historical power consumption data, it generates forecasts that can inform resource allocation and infrastructure planning. The primary user would be someone involved in urban energy management or operational planning for a power grid.
No commits in the last 6 months.
Use this if you need to quickly generate future power consumption forecasts for specific urban zones using a proven time-series forecasting method.
Not ideal if you require real-time, ultra-high-frequency predictions or if your primary goal is anomaly detection rather than future demand estimation.
Stars
16
Forks
1
Language
MATLAB
License
GPL-3.0
Category
Last pushed
Oct 23, 2022
Commits (30d)
0
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