AI Anomaly Detection
Active Events & Root Cause
Energy theft · meter tampering · demand spikes · feeder abnormalities · transformer overheating — with automated root-cause analysis.
AI Anomaly Detection
Active Events
Demand Spike
12:42TSS-LKO-02 Kanpur
+38% over forecast band
Power Factor Drop
12:18Feeder F-DLI-14
PF 0.78 < threshold 0.92
Transformer Temp
11:55TR-FZR-LDH-2
Top oil 78°C trending up
Possible Theft
11:31Meter M-UMB-2210
Reverse current detected
Harmonic Distortion
10:48SSP Saharanpur
THD 6.2% — within limit
Detection Models
Energy Theft
Isolation Forest
96.4%
Meter Tampering
Autoencoder
94.1%
Demand Spikes
LSTM Residuals
92.8%
Transformer Overheat
Thermal Regression
97.2%
Harmonic Distortion
FFT + KMeans
89.5%
Feeder Abnormality
Graph Neural Net
91.3%