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Cross-domain anomaly detection, efficiency regression identification, and intelligent root cause analysis. Powered by HPAS mining and ACIE causal mapping.
Detect anomalies across power, thermal, and workload domains with correlation analysis.
Detect gradual efficiency degradation across systems.
Perform intelligent root cause analysis for energy anomalies.
Detect sensor drift and calibration issues affecting data quality.
Detect and classify power quality events (sags, swells, harmonics).
Detect performance degradation in cooling systems.
Detect anomalies in workload-to-energy correlation patterns.
Detect anomalies in UPS battery health and performance.
Detect energy consumption anomalies in network equipment.
Predict failures in energy infrastructure components.
Detect discrepancies between different metering points.
Detect anomalies in environmental conditions (temperature, humidity, particulates).
Detect anomalies in power and cooling load balancing.
Detect deviations from expected seasonal energy patterns.
Mine patterns from historical incidents to identify systemic issues.