The Grid Is Becoming the First Real AI System
Forecasting in energy is shifting from estimating a single future to modeling distributions of possible futures under changing conditions. This piece describes
Layering intelligent data systems onto infrastructure to maximize asset efficiency and grid resilience.
Forecasting in energy is shifting from estimating a single future to modeling distributions of possible futures under changing conditions. This piece describes
The electric grid is being asked to support a level of load growth, volatility, and operational complexity that many utility systems were not designed to handle.
Before an energy company can talk seriously about resilience, it has to know what it owns, where those assets are, how they are connected, what condition they are in, how they fail, what work is pending, and what the consequences would be if critical parts of the system were lost.
For utilities, power producers, pipeline operators, industrial energy users, and infrastructure owners, the operating environment is becoming harder to manage.