Sk70249/Wind-Energy-Analysis-and-Forecast-using-Deep-Learning-LSTM
A Deep Learning model that predict forecast the power generated by wind turbine in a Wind Energy Power Plant using LSTM (Long Short Term Memory) i.e modified recurrent neural network.
This project helps wind energy plant managers predict future power generation from their wind turbines. By inputting historical wind data (speed, direction) and past power output, it generates forecasts of how much electricity your plant will produce. This is useful for anyone responsible for managing the daily operations and energy output of a wind farm.
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Use this if you need to accurately forecast the power output of a wind energy plant to optimize operations and energy grid planning.
Not ideal if you are looking to predict energy output for solar farms or hydroelectric plants, as this is specifically designed for wind power.
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Jul 05, 2020
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