⚡ A smart energy monitoring system that enables user to see their real time consumption 📈 and energy bill 🧾developed using ESP8266 NodeMCU, PZEM 004T, Google sheets, Firestore and Flutter ⚡
Time-Series-Prediction for joint capstone project at Data Science Bootcamp neuefische GmbH.
This Repo contains Energy Consumption Analysis and Prediction using LSTM
Information on the energy consumption of electrical devices
📈Production-ready automated time series forecasting framework using real PJM energy consumption data (145K+ records). Features ARIMA, Exponential Smoothing, LSTM with auto-hyperparameter tuning, ensemble methods, and publication-ready visualizations.
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