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Grid interruption prediction for the Middle East's largest utility

Predicting power interruptions across the Middle East's largest electricity network, on a map of risk operations teams can act on.

Grid risk map with predicted interruptions and their drivers
Partner
The largest electric utility in the Middle East
Timeline
9 months

The challenge

The challenge

Grid operations needed to see where interruptions were likely before they happened, using data spread across SCADA, asset and GIS systems.

What we built

What we built

We built an AI-enabled interruption prediction application on DataRobot: a data pipeline from operational systems, prediction models with explanations, and map, list and heatmap views over the network, refined with business users and presented to the steering committee.

Impact

Impact

  • Interruption risk shown on a map of the network
  • Predictions explained, not just scored
  • Business users testing and giving feedback from release one
  • Regular steering committee demos

Built with

DataRobotPythonTime-series MLGISSCADA data