AI Cable Fault Localization
Machine learning for detecting and locating faults in power cables
The Problem
“Pinpoint cable faults faster, cut outage duration”
Organizations face these key challenges:
Distance-to-fault estimates are often inaccurate due to cable aging, temperature, sheath bonding, multiple joints, and network topology, causing repeated testing and trial excavations
Outage restoration is delayed by manual data gathering across SCADA, relay records, GIS, and test equipment outputs, with inconsistent interpretation between technicians
High cost and safety risk from unnecessary excavation, traffic control, and work near other buried utilities, plus reputational and regulatory impacts from extended outages
Impact When Solved
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.