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March 7, 2018

Combination of old and new yields novel power grid cybersecurity tool

An innovative R&D project led by Berkeley Lab researchers that combines cybersecurity, machine learning algorithms and commercially available power system sensor technology to better protect the electric power grid has sparked interest from U.S. utilities, power companies and government officials.

Launched in 2015, the three-year project is now moving into the tech transfer stage, according to project lead Sean Peisert, a computer scientist in Berkeley Lab’s Computational Research Division and a cybersecurity expert. In addition to receiving funding support from the Department of Energy’s Cybersecurity for Energy Delivery Systems (CEDS) program in the Office of Electricity Delivery and Energy Reliability, the team has been working closely with key industry partners, including EnerNex, EPRI, Riverside Public Utilities and Southern Company.

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