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DataEnergy
Grid analytics platform for a South Asian energy utility
A real-time analytics platform ingesting 2.4M meter events per hour — helping a national utility cut technical losses and predict outages.
- Client
- South Asian Energy Utility
- Industry
- Energy
- Region
- Pakistan
- Duration
- 8 months · 2024
The numbers
-4.1pp
loss reduction in year 1
2.4M/hr
events processed
3.7x
inspector hit rate
-31%
outage duration
The challenge
The utility knew it was losing 17% of generated power to a mix of theft, technical loss and metering error — but couldn't tell which was which, or where. Smart meter data was landing in a warehouse nobody used.
Our approach
- 01
Built a streaming pipeline (Kafka + Flink) ingesting meter, weather and grid sensor data in real time.
- 02
Trained anomaly-detection models to flag consumption patterns typical of tampering vs. equipment failure.
- 03
Shipped a field-ops app that routes inspectors to the highest-value leads first.
- 04
Modeled outage risk against weather forecasts — pre-positioning crews before storms.
Outcomes
- -4.1pploss reduction in year 1
- 2.4M/hrevents processed
- 3.7xinspector hit rate
- -31%outage duration
“
We used to guess where to send inspectors. Now the platform tells us — and it's right more than three times out of four.
Chief Technology Officer · South Asian Energy Utility
