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energy-forecasting

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Time-series forecasting of hourly energy consumption using Long Short-Term Memory (LSTM) neural networks. This project explores deep learning models for energy forecasting and compares their performance to traditional statistical models like ARIMA and SARIMA. Part of my transition into computational energy systems research.

  • Updated Jun 30, 2025
  • Jupyter Notebook

⚡ Production-grade demand forecasting & live electricity dashboard: Prophet + LightGBM + SARIMA ensemble (10% MAPE). 36-feature engineering, TimescaleDB, FastAPI, Docker-ready. Real-time Brazilian electricity monitoring with HuggingFace data, Chart.js streaming, smart API/HuggingFace fallback.

  • Updated Aug 4, 2026
  • Python

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