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Industrial Analytics · Free resource

Grid Analytics & Theft Detection Checklist

Electricity theft / loss detection that survives ops review — data quality, features, alert thresholds, and investigation workflows.

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1. Data foundation

Meter / DT / feeder IDs mapped to a single source of truth
Missingness, clock skew, and duplicate reads quantified per feeder
Technical loss baseline separated from non-technical loss hypothesis
Privacy / legal basis for consumer-level analytics confirmed

2. Detection design

Features documented (load shape, balance, reverse energy, peers)
Model or rules evaluated on labeled incidents — not only unsupervised novelty
Precision / recall traded explicitly for field crew capacity
Seasonality and festival / weather confounders handled

3. Operations

Alert queue prioritizes high loss × high confidence
Case file exports enough context for a field visit
False positive feedback loops back into training / thresholds
SLA: time from alert → inspection → close logged

4. Governance

Model version and threshold changes audited
Bias / over-targeting of neighborhoods reviewed quarterly
Rollback plan if a release floods crews with noise
KPI dashboard: detected loss, recovered loss, crew hours

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