k-means algorithm and mixture distributions for locating faults in power systems-Reference-Cited by-同舟云学术

k-means algorithm and mixture distributions for locating faults in power systems

Published:2009-05 Issue:5 Volume:79 Page:714-721
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Mora-Flórez J.,Cormane-Angarita J.,Ordóñez-Plata G.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference27 articles.

1. J. Mora-Florez, Voltage sag characterization and classification for diagnosis in electric power quality domain. Master Thesis. University of Girona, Spain, 2003.

2. The development of power quality markets;Driesen,2004

3. Voltage sag stochastic prediction using an electromagnetic transients program;Martinez;IEEE Trans. Power Deliv.,2004

4. A power quality and reliability index based on customer interruption costs;Crozier,1999

5. Understanding Power Quality Problems: Voltages Sags and Interruptions;Bollen,2000

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