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This project utilizes Long Short-Term Memory (LSTM) networks in PyTorch to forecast green energy production based on historical data. The model is designed to predict energy output from renewable sources like solar and wind by capturing time-dependent patterns in the data.

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SayamAlt/Green-Energy-Production-Forecasting-using-LSTM

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This project utilizes Long Short-Term Memory (LSTM) networks in PyTorch to forecast green energy production based on historical data. The model is designed to predict energy output from renewable sources like solar and wind by capturing time-dependent patterns in the data.

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