Hassan Hijazi and Carleton Coffrin at the U.S. Department of Energy's Los Alamos National Laboratory (LANL) earned top prizes in a national contest to develop algorithms to enhance the electrical grid.
In competition with 14 other entries, Hijazi's algorithm placed first in all four divisions, while Coffrin's placed second in two divisions.
Their algorithms use artificial intelligence to determine grid performance improvement approaches.
The contest, funded by the U.S. Department of Energys Advanced Research Projects Agency-Energy (ARPA-E), is part of an initiative to identify emerging grid optimization algorithms and to expedite their industrial adoption.
LANL's Nancy Jo Nicholas said, "Hassan's and Carleton's achievement will help advance national efforts to create a more reliable, resilient, and secure electrical grid."
From Los Alamos National Laboratory News
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