Nonparametric Event Detection in Multiple Time Series for Power Distribution Networks

With the unprecedented advancement of sensing technology, smart city applications are now enriched with massive measurement data related to system states, patterns, and the behavior of its users. However, classic data analysis or machine learning tools ignore some unique characteristics of the multi...

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Bibliographic Details
Published in:	IEEE transactions on industrial electronics (1982) Vol. 66; no. 2; pp. 1619 - 1628
Main Authors:	Yuxun Zhou, Arghandeh, Reza, Han Zou, Spanos, Costas J.
Format:	Journal Article
Language:	English
Published:	New York IEEE 01-02-2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Analytical models Artificial intelligence Component reliability Data analysis Data models Dependence Divergence Electric power distribution electrical fault detection Hidden Markov models Machine learning Mathematical model Microprocessors Networks Nonparametric statistics Observability (systems) Phasor measurement units power system analysis Power systems statistical learning Time series Time series analysis
Online Access:	Get full text
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