/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.

Primary LanguageJupyter Notebook

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. you can run the notebook and download the data from the following link: https://drive.google.com/file/d/1Jlgd7pdcEWRItnbXLYW_HK1fLWhSRoWp/view?usp=drive_link