On-line identification of power system  dynamic signature using PMU measurements and data mining

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1760-1768
Journal	IEEE Transactions on Power Systems
Volume	31
Issue number	3
DOIs	https://doi.org/10.1109/TPWRS.2015.2453424
Publication status	Published - 2016

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@article{312847ad8ba445d693836a6db98511af,

title = "On-line identification of power system dynamic signature using PMU measurements and data mining",

author = "Tingyan Guo and Milanovic, {Jovica V.}",

year = "2016",

doi = "10.1109/TPWRS.2015.2453424",

language = "English",

volume = "31",

pages = "1760--1768",

journal = "IEEE Transactions on Power Systems",

issn = "0885-8950",

publisher = "IEEE",

number = "3",

}

TY - JOUR

T1 - On-line identification of power system dynamic signature using PMU measurements and data mining

AU - Guo, Tingyan

AU - Milanovic, Jovica V.

PY - 2016

Y1 - 2016

U2 - 10.1109/TPWRS.2015.2453424

DO - 10.1109/TPWRS.2015.2453424

M3 - Article

SN - 0885-8950

VL - 31

SP - 1760

EP - 1768

JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

IS - 3

ER -