faisalm9/Energy-Meters-Prediction-for-M-V-

This project utilizes Long Short-Term Memory (LSTM) networks to predict energy usage based on three input features. The LSTM model is a type of recurrent neural network (RNN) well-suited for sequential data, making it effective for time-series predictions.

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