GridOS^® Data Fabric

T&D data naturally resides in locally managed environments. GridOS Data Fabric can bridge those silos, making it easier to integrate key capabilities across T&D like forecasting, switching, emergency response, power restoration, and digital twin simulations.

DER-heavy grids are at risk of backfeed violations. GridOS Data Fabric brings together the forecasting and OT data that help predict violations and schedule the right dispatches to avert them.

AI- and ML-powered applications make predictions by studying past events — which requires high-quality training and input data. GridOS Data Fabric provides the common data foundation that AI and ML engines need.

Utilities struggle to accurately pinpoint and visualize outages. GridOS Data Fabric makes it easier to combine voltage, meter, and location data to inform and drive the best possible response.

Absolutely! This simply means that – like most utilities – your organization’s grid data is “distributed,” or stored in a variety of places, probably depending on its source. This is very normal for grid data, especially since it helps preserve quality and accuracy. GridOS Data Fabric is designed to help you access that data while respecting its distributed nature. In other words, GridOS Data Fabric brings decentralized data into a virtually centralized view.

No – this a common misconception about data fabrics in general. GridOS Data Fabric should not be confused with a data lake or warehouse. Think of it as a data foundation. From this foundation it becomes faster, easier, and more efficient to access and leverage the energy data you need to orchestrate the grid.

Very little. GridOS Data Fabric provides access to a low-code development platform outfitted with user-friendly data analysis tools. Minimal coding knowledge is required to utilize and reap the benefits of GridOS Data Fabric, the first grid-specific data fabric.