Ferryman, Tom

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This project’s goal was to establish proof-of-concept for a tool that will enable identification of envisioned and unenvisioned atypical events on the grid. It combines sophisticated multivariate statistical algorithms, user-intuitive software, and WAMS (Wide-Area Measurement System) data to explore subtle nuances, typical patterns, and atypical events.