The Grid Signature Event Library energizes utility and researcher understanding of grid behavior by providing access to datasets of waveforms from grid operations. Credit: Adam Malin/ORNL, U.S. Dept. of EnergyThe Grid Event Signature Library at Oak Ridge National Laboratory offers waveform datasets that help analyze and predict electric grid behaviors.
A recent paper described the datasets and their applications. Machine learning can be trained to recognize waveforms that provide an early warning of equipment malfunction, enabling power system operators to prevent blackouts, wildfires, and damage to the power grid. Reference: “The Grid Event Signature Library: An Open-Access Repository of Power System Measurement Signatures” by Aaron J. Wilson, Ali Riza Ekti, Jim Follum, Shuchismita Biswas, Christabella Annalicia, Jhi-Young Joo, Omer Aziz and Jamie Lian, 24 May 2024,SciTechDaily: Home of the best science and technology news since 1998. Keep up with the latest scitech news via email or social media.
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