Development of the Decoupled Discreet-Time Jacobian Eigenvalue Approximation for Situational Awareness Utilizing Open PDC

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ISSN Print: 2327-588X
ISSN Online: 2327-5901
www.scirp.org/journal/jpee
E-mail: jpee@scirp.org

"Development of the Decoupled Discreet-Time Jacobian Eigenvalue Approximation for Situational Awareness Utilizing Open PDC"
written by Sean D. Kantra, Elham B. Makram,
published by Journal of Power and Energy Engineering, Vol.4 No.9, 2016

has been cited by the following article(s):

[1]	Pipeline risk big data intelligent decision-making system based on machine learning and situation awareness
	Neural Computing and Applications, 2022

[2]	Expansion of the Decoupled Discreet-Time Jacobian Eigenvalue Approximation for Model-Free Analysis of PMU Data
	2017

[1]	Pipeline risk big data intelligent decision-making system based on machine learning and situation awareness Neural Computing and Applications, 2022 DOI:10.1007/s00521-021-06738-5

[2]	Pipeline risk big data intelligent decision-making system based on machine learning and situation awareness Neural Computing and Applications, 2022 DOI:10.1007/s00521-021-06738-5

[3]	Expansion of the Decoupled Discreet-Time Jacobian Eigenvalue Approximation for Model-Free Analysis of PMU Data Journal of Power and Energy Engineering, 2017 DOI:10.4236/jpee.2017.56002

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