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
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Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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GridOS® Disruption Prepare uses a single pricing dimension: an annual licensing fee. You pay one recurring fee each year under a contract. There are no separate tiers, instance sizes, or usage-based add-ons to select. Pricing does not scale by consumption or by capacity. This software helps utilities prepare for and minimize grid disruptions. The single annual fee covers your access under the agreed contract term.
Top-of-mind questions for buyers
What does the annual licensing fee cover for GridOS® Disruption Prepare?
The fee covers your access to the software under the agreed contract for one year. This software helps utilities prepare for and minimize grid disruptions, both throughout the year and just before an event strikes. The single fee is not tied to usage volume or capacity.
Does my cost change if I use the software more or add more users?
No. You pay one flat annual licensing fee under your contract. Pricing does not scale with usage, capacity, or the number of users. There are no consumption-based add-ons or overage charges. The fee stays the same for the agreed term regardless of how heavily you use the software.
Is this billed as a subscription or based on what I consume?
This is a subscription-style contract with a recurring annual licensing fee. You commit to the fee for the term rather than paying per hour or per transaction. Charges apply on the annual cycle, not on measured consumption. This suits continuous, ongoing use rather than variable workloads.
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