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This project forecasts the total wind and solar electricity production using Long Short-Term Memory (LSTM) neural networks implemented in PyTorch. The model leverages time-series data to predict future renewable energy generation, helping to optimize energy management and grid stability.

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SayamAlt/Wind-Solar-Electricity-Production-Forecasting-using-LSTM

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This project forecasts the total wind and solar electricity production using Long Short-Term Memory (LSTM) neural networks implemented in PyTorch. The model leverages time-series data to predict future renewable energy generation, helping to optimize energy management and grid stability.

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