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On May 19, 2023 MSL organized and led a seminar on advanced grid modernization technologies as part of a grant awarded to New Mexico State University by the U.S. Department of Energy’s Established Program to Stimulate Competitive Research (EPSCoR) program. MSL and The National Renewable Energy Laboratory are collaborators on the grant. Seminar presenters included the NMSU research team; researchers from Los Alamos, Sandia, and the National Renewable Energy Laboratories; and Camus Energy (all MSL consortium Members).

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Update October 6, 2022: MSL, New Mexico State University, and The National Renewable Energy Laboratory (an MSL Member) have been awarded a grant by the U.S. Department of Energy’s Established Program to Stimulate Competitive Research (EPSCoR) program, for Building EPSCoR-State/DOE-National Laboratory Partnerships. The team’s proposal, “Building a federated learning framework for trustworthy and resilient energy internet of things (eIoT) infrastructure,” focuses on Federated Machine Learning (FML), and the research funded will approach several FML-related aspects of smart grid data architectures and applications. (more…)

MSL has teamed with New Mexico State University and The National Renewable Energy Laboratory (an MSL Member) for a proposal to the U.S. Department of Energy’s Established Program to Stimulate Competitive Research (EPSCoR) program, for a Building EPSCoR-State/DOE-National Laboratory Partnerships grant. The team’s proposal, “Building a federated learning framework for trustworthy and resilient energy internet of things (eIoT) infrastructure,” focuses on Federated Machine Learning (FML). It was selected by DOE at the pre-proposal stage for full proposal submission, and it approaches several FML-related aspects of smart grid data architectures and applications.

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