Machine Learning Techniques for Power System Security Assessment

IFAC-PapersOnLine

Volumn 49, Issue 27, 2016, Pages 445-450

  Tomin, Nikita V ^a   Kurbatsky, Victor G ^a   Sidorov, Denis N ^a   Zhukov, Alexey V ^a  

^a MELENTIEV ENERGY SYSTEMS INSTITUTE   (Russian Federation)

Author keywords

blackout; machine learning; power system; security assessment; smart grid

Indexed keywords

ELECTRIC POWER SYSTEM SECURITY; ELECTRIC POWER TRANSMISSION NETWORKS; LEARNING SYSTEMS; MACHINE LEARNING; NUMERICAL METHODS; PATTERN RECOGNITION; SMART POWER GRIDS;

BLACKOUT; CONVENTIONAL METHODS; LEARNING CAPABILITIES; MACHINE LEARNING TECHNIQUES; POWER SYSTEM; POWER SYSTEM SECURITY ASSESSMENT; SECURITY ASSESSMENT; SMART GRID;

OUTAGES;

EID: 84997542791     PISSN: None     EISSN: 24058963     Source Type: Conference Proceeding    
DOI: 10.1016/j.ifacol.2016.10.773     Document Type: Conference Paper

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