Every discom knows its loss number. Far fewer know where the losses are, feeder by feeder and transformer by transformer — and fewer still can tell technical losses from theft, faulty meters and energy that was supplied but never billed.
Where the energy goes missing
Losses accumulate in small gaps: a transformer serving more load than its connected consumers explain, meters stuck or reversed, estimated bills that drift from reality, collections that lag the bill. Each is visible in some system; together they are rarely seen in one place.
- Feeder and transformer meters that are never balanced against billing
- Smart-meter reads with gaps, stuck values and tamper events left unvalidated
- Estimated bills that hide both losses and disputes
- Vigilance teams inspecting by area rather than by evidence
What changes with joined-up data and agents
When meter data, billing, the network model and vigilance records sit on one governed data fabric, energy can be balanced from feeder to consumer every month. Agents can then rank premises by the pattern behind them and hand the list — with the evidence — to the vigilance officer.
A supervised loss-reduction squad
Agent designs from our AI & Agentic Engineering practice
| Agent | What it does | Who decides |
|---|---|---|
| Energy Accounting Agent | Balances feeder and DT input with billed energy and flags loss pockets | Superintending engineer (commercial) |
| Theft & Tamper Detector | Ranks premises for inspection from consumption and tamper patterns | Vigilance officer |
| Meter Data Validator | Flags gaps and faulty meters, proposes estimates with reasons | Metering in-charge |
Note: Designs, not results; autonomy kept at suggest or act-with-approval.
Where to start
Start with one circle or division where smart meters are live, balance energy at feeder and transformer level, and measure confirmed cases per inspection against today's baseline before scaling across circles.