AI Non-Technical Loss Detection
The Problem
“Detect and reduce non-technical losses at scale”
Organizations face these key challenges:
Low inspection hit-rates and high false positives drive wasted truck rolls and investigator time
Data silos across AMI, CIS/billing, meter events, and network/feeder data delay detection and obscure root causes
Evolving theft tactics (bypass, magnetic tamper, meter programming, illegal reconnections) outpace static rules and manual heuristics
Impact When Solved
The Shift
Real-World Use Cases
AI in Energy Industry: Smart Grid Optimization and Energy Management
This is like giving the entire power system—power plants, grids, and large customers—a real‑time ‘autopilot’ that constantly predicts demand, reroutes electricity, and tunes equipment so you use less fuel, waste less energy, and keep the lights on more reliably.
AI Grid Congestion Management
This AI helps optimize the layout of power grids to reduce congestion without increasing costs or carbon emissions.