Description
Grid conditions are changing faster than operators can reconcile data across separate systems. This video shares how GridOS® for Transmission puts capacity, stability, asset, and forecast data into one view of the grid. It also covers how AI helps operators have a plan ready before a disturbance happens.
Utilities already generate large amounts of data from the software they run, but most of it doesn’t connect. It sits in different datasets, flows, teams, and formats. The next step isn’t seeing more of the grid. It’s understanding what matters in one place, so operators can use more of the grid without taking on more risk.
In this video:
- Why the real challenge for operators is how fast conditions change, not just grid complexity
- How Digital Dynamic Line Rating (DDLR) helps operators manage the physical capacity of transmission lines
- How the Wide Area Monitoring System (WAMS) shows growing system disturbances in near real time, so operators have more time to act.
- How GridOS Visual Intelligence shows the grid’s physical assets and how GridOS Forecasting projects load and demand up to seven days ahead
- Why a unified, CIM-based data model gives operators one view instead of four or five to reconcile
- How AI supports operators rather than replacing them, by spotting trends and running contingencies faster
Learn more: https://www.gevernova.com/software/products/gridos-for-transmission
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