AI Smart Meter Analytics
The Problem
“Turn smart meter data into actionable insights”
Organizations face these key challenges:
High-volume interval data (15/30/60-minute) is noisy, incomplete, and difficult to operationalize across AMI, OMS, CIS, and GIS systems
Revenue protection teams are overwhelmed by false positives from rule-based alerts, leading to low investigation efficiency and delayed recovery
Limited visibility into low-voltage network conditions and behind-the-meter behavior increases outage duration, power-quality complaints, and peak procurement costs
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.