Sold by: GE Vernova
Predictive storm planning reduces crew costs while improving safety and customer satisfaction
Sold by: GE Vernova
Overview
In the last 30 years, the frequency and intensity of severe weather events has increased significantly. While utilities have made great progress in their ability to transition to storm operations and dispatch repair crews quickly and effectively, challenges remain for storm detection, prep & stage and storm management teams. Being constrained by broad area, low-fidelity weather data makes it difficult to forecast outages, facility damage and estimated time to repair by operating area. Without a clear picture of how impending weather events will impact the grid, utilities must rely on costly numbers of contingency crews to restore power quickly, or risk leaving customers without power for extended time periods.
The ability to identify and restore power outages efficiently is critical for grid utilities, particularly when severe storms hit. GridOS Disruption Prepare enables utilities to support first-responder efforts by arming them with advance knowledge of the impact of any adverse weather on the customers grid. When the storm hits, the team is able to focus on the situation in real time to get power back as quickly as possible. Increased visibility of severe weather also prevents the utilities from putting their employees at risk. Predicted outage information enables better preparedness (leading to faster response time). Delivering proactive and consistent outage information is crucial to improve customer satisfaction and reduce frustration.
The GridOS Disruption Prepare application utilizes historical weather, outage, cost and facility damage data, combined with geospatial (GIS) data and high-resolution weather forecasts to deliver:
- Geospatial overlays of high-resolution weather forecasts and predicted outages on a 6x6 mile grid over your service territory
- Hour-by-hour high resolution outage predictions at a township level
- Hour-by-hour outage and damage prediction forecasts by service center for the next 72 hours
- Estimated time of restoration and customer average interruption duration index (CAIDI) based on predicted outages and variable field resource levels
Contact us to learn how your utility can be better prepared to manage your next severe weather event - before it happens.
Highlights
- Support your storm planning teams with high-fidelity weather data and 21st Century AI and ML technology to enable them to make better decisions.
- Optimize storm planning response teams, before during and after severe weather events.
- Improve your ability to restore power efficiently, more effectively manage costs and improve your customer communications
Details
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Dimension | Description | Cost/12 months |
|---|---|---|
Licensing Fee | Annual licensing fee | $0.001 |
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