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iot-energy

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This research project explores the design and implementation of Renewable Energy-Powered Networks (REPNs). It addresses the urgent need for sustainable and energy-efficient network infrastructures by integrating solar, wind, and hybrid energy systems with AI-driven energy management, smart grids, and advanced storage technologies.

  • Updated May 24, 2025

AI-powered Energy Forecasting System using XGBoost, MLP & LSTM. Includes Flask API, responsive frontend, feature engineering pipeline, notebooks, datasets, and end-to-end machine learning workflow. Perfect for energy analytics, predictive modeling, and ML engineering portfolios.

  • Updated Nov 30, 2025
  • Jupyter Notebook

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