Operational Intelligence
Renewable energy assets in India operate under environmental conditions that generic global monitoring platforms are not designed to handle — including high dust exposure, extreme heat cycles, and severe weather events that directly impact plant performance and equipment reliability.
Dhruth Prism is Dhruth’s AI-driven intelligence layer for predictive maintenance and operational optimisation across renewable energy assets. By analysing telemetry across inverters, trackers, and string-level systems, the platform identifies emerging issues before they lead to failures, downtime, or generation losses.
AI Fault Detection
Continuous anomaly detection across inverters, trackers, and DC systems to identify abnormal operating behaviour early.
Dust Mitigation Algorithms
Soiling loss detection using irradiance correlation, environmental conditions, and operational performance trends.
Hail Event Alerts
Weather-aware protective actions and operational alerts for tracker-equipped plants during hail conditions.
Reactive → Proactive Shift
Move from reactive troubleshooting to planned, data-informed maintenance interventions.
Equipment Health Scoring
Real-time asset health indexing for critical plant equipment based on operational and performance telemetry.
Maintenance Scheduling
Intelligent maintenance recommendations aligned with generation forecasts to minimise production impact.