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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.
Source code for my research: PM2.5 Density Prediction based on a Two-Stage Rolling Forecast Model using LightGBM