Solar Panel Monitoring System

Processing and visualizing data from thousands of IoT sensors in real-time while providing actionable insights for maintenance teams.

Implemented a scalable IoT architecture using MQTT for device communication, time-series database for sensor data, and machine learning algorithms for predictive maintenance.

Monitoring 10,000+ solar panels across 50 installations. Reduced maintenance costs by 30% through predictive alerts and increased energy output by 15% through optimization recommendations.