MohamadNach/Machine-Learning-to-Predict-Energy-Consumption
Building a machine learning model to predict energy consumption using LSTM (Long-Short Term Memory)
This project helps energy grid operators, utilities, and energy planners predict future electricity consumption. It takes historical hourly electricity consumption data, like the past six years of Finland's usage, and produces forecasts of future energy needs. This allows for better resource allocation and integration of renewable energy sources.
No commits in the last 6 months.
Use this if you need to accurately forecast electricity demand based on historical usage patterns to optimize energy generation and distribution.
Not ideal if your data is not a time series or if you need to predict energy consumption based on factors beyond historical usage, such as weather patterns or economic indicators.
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Last pushed
Jan 07, 2023
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