Open AccessCombinatorial Evaluation of Physical Feature Engineering, Classical Machine Learning, and Deep Learning Models for Synchrophasor Data at Scale
Author(s) -
Seán Murphy,
Mohini Bariya,
Debbie Chang,
Jeff P. Lin,
Christopher M. Ryan,
Ramiro Mata
Publication year - 2022
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/1864556
Subject(s) - computer science , event (particle physics) , feature engineering , data mining , anomaly detection , data type , artificial intelligence , machine learning , deep learning , physics , quantum mechanics , programming language
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