Comparative studies of power grid security with network connectivity and power flow information using unsupervised learning

Proceedings of the International Joint Conference on Neural Networks

Volumn 2016-October, Issue , 2016, Pages 2730-2737

  Poudel, Shiva ^a   Ni, Zhen ^a   Zhong, Xiangnan ^b   He, Haibo ^b  

^a South Dakota State University   (United States)

^b The University of Rhode Island   (United States)

Author keywords

Cascading failures; Computational intelligence; K means algorithm; Power grid security; Self organizing map (SOM); Unsupervised learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; BUSES; CONFORMAL MAPPING; ELECTRIC LOAD FLOW; ELECTRIC POWER TRANSMISSION; ELECTRIC POWER TRANSMISSION NETWORKS; LEARNING ALGORITHMS; NETWORK SECURITY; OUTAGES; SELF ORGANIZING MAPS; SMART POWER GRIDS; UNSUPERVISED LEARNING;

CASCADING FAILURES; COMPARATIVE STUDIES; ELECTRIC POWER GRIDS; INTENTIONAL ATTACKS; K-MEANS ALGORITHM; NETWORK CONNECTIVITY; PHYSICAL ATTACKS; POWER GRID SECURITIES;

ELECTRIC POWER SYSTEM SECURITY;

EID: 85007200872     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2016.7727542     Document Type: Conference Paper

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