Multi-stage fault warning for large electric grids using anomaly detection and machine learning

DOI10.13164/ma.2019.08zbMath1453.62550arXiv1903.06700OpenAlexW3003559124MaRDI QIDQ5132865

Sanjeev Raja, Ernest Fokoué

Publication date: 12 November 2020

Published in: Mathematics for Application (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1903.06700

zbMATH Keywords

classificationneural networktime seriesclusteringmachine learningdynamic time warpingdimensionality reductionautocorrelationrandom forestsupport vector machineanomaly detectionelectric grid

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics in engineering and industry; control charts (62P30) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Neural nets and related approaches to inference from stochastic processes (62M45)

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