40.6 GWh
Energy Delivered
Grid Intelligence Platform
NTL Detection System for Faster Feeder Action
A full-stack analytics platform for detecting non-technical losses in electrical distribution networks across Nigeria. Engineers get a ranked list of feeders, mapped context, and a clear inspection starting point.
5.2%
Technical Losses
5.7%
NTL Losses
21
Flagged Feeders
The Problem
Nigerian distribution companies report losses between 15% and 30% of delivered energy. Technical losses account for only 4–8%, while the rest are non-technical losses driven by theft, faulty metering, and ghost connections.
Our Approach
We analyze feeder-level behavior using robust baselines, anomaly scoring, and physical-loss context. The output is operationally focused: who to inspect, where to inspect, and why.
How It Works
1
Data Processing
3.19 million readings are transformed into consistent hourly consumption snapshots.
2
Statistical Detection
Median-based normalization and anomaly scoring isolate feeders with unusual behavior.
3
Actionable Output
Teams receive a prioritized, map-ready list of feeders requiring field inspection.
Start Exploring
Jump into the live map to inspect stations and feeder clusters, or open summary analytics for the latest KPIs.