Hydropower Plant Performance Monitoring and Predictive Maintenance

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About Course

  • Tools & Languages: Python, SQL, AWS, TensorFlow, Grafana, SCADA systems
  • Objective: Build a monitoring system for a hydropower plant that collects real-time data on turbine performance, water flow, and energy production. Implement predictive maintenance algorithms to forecast equipment failures. Create a dashboard using Grafana to visualize plant performance and maintenance schedules.
  • Skills Needed: Hydropower systems, SCADA integration, predictive maintenance, machine learning (TensorFlow), data visualization (Grafana), cloud deployment (AWS).

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