Real-time data reassurance in electrical power systems based on artificial neural networks

Electric Power Systems Research

Volumn 96, Issue , 2013, Pages 285-295

  Mousavian, Seyedamirabbas ^a   Valenzuela, Jorge ^a   Wang, Jianhui ^b  

^a AUBURN UNIVERSITY   (United States)

^b ARGONNE NATIONAL LABORATORY   (United States)

Author keywords

Artificial neural networks; Cyber security; Network observability; Power system security

Indexed keywords

CYBER SECURITY; CYBER-ATTACKS; DATA ANOMALIES; DATA INPUT; DATA INTEGRITY; ELECTRICAL POWER SYSTEM; FINANCIAL LOSS; IN-CONTROL; MIXED INTEGER LINEAR PROGRAM; NETWORK OBSERVABILITY; NETWORK-BASED; POWER FLOW CALCULATIONS; POWER GRIDS; POWER SYSTEM SECURITY; REAL-TIME DATA; RELIABILITY TEST SYSTEM;

ALGORITHMS; CRIME; INTEGER PROGRAMMING; LOSSES; OBSERVABILITY;

NEURAL NETWORKS;

EID: 84872091096     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epsr.2012.11.015     Document Type: Article

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