Smart Grid Management System Using IoT and Machine Learning

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About Course

  • Tools & Languages: Python, MQTT, AWS IoT, TensorFlow, R, Node-RED, PostgreSQL
  • Objective: Develop a smart grid management system that monitors energy consumption patterns using IoT sensors and applies machine learning algorithms for demand forecasting. Create a dashboard to visualize energy consumption, predict peak loads, and optimize energy distribution using AWS IoT for data collection and storage.
  • Skills Needed: IoT sensor integration, machine learning (demand forecasting), cloud computing (AWS IoT), data visualization (Node-RED), database management (PostgreSQL).

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