Energy Loss Management System.

Talk about ELMS

Electricity theft costs utilities globally an estimated USD 89.3 billion annually. South African municipalities face significant non-technical losses that erode revenue and infrastructure capacity. Detect technical losses and non-technical losses — theft, tampering and illegal connections — with deep-learning models trained on live metering data.

Stop leakage with an audit trail.

Technical loss (TL) detection: line faults and equipment inefficiencies

Non-technical loss (NTL) detection: power theft, meter tampering and illegal connections

Pattern analysis and AI model training on metering data from smart meters and TMDs

Automated alerts with a clear audit trail for enforcement

How it works

01

AMI hardware streams interval data into ELMS.

02

Deep-learning models — an IP-patented methodology — identify distribution-network irregularities.

03

Unlike CCTV or manual checks, ELMS is data-driven, reflects new theft patterns dynamically, and runs as a cost-effective cloud service.

How Joule delivers it.

All references

AI

Deep-learning detection of theft, tampering and technical losses on live metering data.

Cloud

A cost-effective service that adapts to new theft patterns without CCTV or manual sweeps.