This National Science Foundation (NSF) Division of Mathematical Sciences Project Grant, titled "AMPS: Scalable Methods for Real-Time Estimation of Power Systems Under Uncertainty", will provide $280,000 in funding from Sep 1, 2023 to Aug 31, 2026. The project aims to develop computational methods that are scalable, exploit problem structures, and are robust to uncertainties in power system models. Key objectives include identifying influential parameters, efficiently estimating model parameters from data with quantified uncertainties, and providing training opportunities for underrepresented STEM students. The grant recipient, University of California, Merced, has experience delivering federal research, education, and training services related to science, technology, engineering, mathematics, agriculture, climate, and public health.
Generated 4/2/24, 1:43 AM