Arizona State University was awarded a $500,000 Project Grant from the National Science Foundation Division of Electrical, Communications and Cyber Systems. The award is part of NSF's Engineering program (CFDA 47.041) to support CAREER: FAITHFUL, REDUCIBLE, AND INVERTIBLE LEARNING IN DISTRIBUTION SYSTEM FOR POWER FLOW.
Under this five-year project grant awarded February 1, 2021 with a completion date of January 31, 2026, Arizona State University will conduct research at its Tempe, Arizona campus focused on developing new techniques for faithful, reducible, and invertible learning in distribution systems for power flow modeling. The NSF Engineering program aims to foster innovation in engineering research and education to improve quality of life and economic strength. This award supports those goals by advancing methods for analyzing and optimizing power distribution networks through machine learning approaches.
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