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
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Abstracts Copyright © 2020 SmithBucklin, Washington, DC, USA
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