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GridSenseEnergy
IoT monitoring and anomaly detection for distributed solar assets
- Customer
- Renewable energy developer
- Industry
- Energy
- Timeline
- 8 months
- Year
- 2025
6.2M
Sensor readings processed daily
3 days → 40 min
Mean time to detect faults
+4.1%
Recovered annual generation
The challenge
Inverter and sensor data sat in vendor portals that didn’t talk to each other. Faults were discovered days late during manual reviews, costing generation and revenue.
The approach
01
Unified ingestion
Data from multiple equipment vendors is brought together into one consistent view.
02
Anomaly detection
Smart models compare expected versus actual output using weather data.
03
Field workflows
Alerts become work orders dispatched to technicians with context attached.
04
Executive reporting
Automated generation and availability reports for investors.
The solution
- High-throughput telemetry ingestion pipeline
- Historical data store covering years of performance
- Smart anomaly detection with clear, explainable alerts
- Technician mobile workflows
- Investor-grade reporting dashboards
“We now know about a problem before our technicians do. That alone paid for the project.”
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