A new artificial neural network model created by Argonne scientists handles both static and dynamic features of a power system with a relatively high degree of accuracy.

America’s power grid system is not only large but dynamic, which makes it especially challenging to manage. Human operators know how to maintain systems when conditions are static. But when conditions change quickly, due to sudden faults for example, operators lack a clear way of anticipating how the system should best adapt to meet system security and safety requirements. Read More

#mlops