Sign In

Communications of the ACM

ACM TechNews

Argonne Scientists Use AI to Strengthen Power Grid Resiliency


View as: Print Mobile App Share: Send by email Share on reddit Share on StumbleUpon Share on Hacker News Share on Tweeter Share on Facebook
Solar panels, wind mills, and power lines.

A research team at Argonne National Laboratory developed a novel approach to helping system operators understand how to better control power systems with the help of artificial intelligence.

Credit: gopixa/Shutterstock

Scientists at the U.S. Department of Energy's Argonne National Laboratory (ANL) have created a new artificial intelligence (AI) technique to help operators understand how to better handle power systems.

Their single decision-making neural network model manages both static and dynamic processes with a relatively high level of accuracy, and could augment the resilience of the U.S. power grid.

ANL's Yichen Zhang said, "A neural network can create a map between a specific input and a specific output. If I know the conditions we start with and those we end with, I can use neural networks to figure out how those conditions map to each other."

From Argonne National Laboratory
View Full Article

 

Abstracts Copyright © 2020 SmithBucklin, Washington, DC, USA


 

No entries found

Sign In for Full Access
» Forgot Password? » Create an ACM Web Account