MFHChehade/Medium-Term-Load-Forecasting-using-TCN-LSTM-ARIMA
The work develops a multi-step time series load forecasting model that predicts daily power consumption for the upcoming week based on historic daily data of consumption at a university campus.
This project helps operations managers and facility planners at large institutions predict future electricity needs. By analyzing past daily electricity consumption and local temperature data, it generates daily power consumption forecasts for the upcoming week. This allows for better energy management and resource allocation.
No commits in the last 6 months.
Use this if you need to predict daily electricity usage for a university campus or similar large facility for the next seven days.
Not ideal if you require real-time load forecasting, predictions for individual buildings, or for timeframes beyond a week.
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Jul 28, 2024
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