Random forest based model for preventing large-scale emergencies in power systems

International Journal of Artificial Intelligence

Volumn 13, Issue 1, 2015, Pages 211-228

  Tomin, Nikita ^a   Zhukov, Aleksei ^a,b   Sidorov, Denis ^a,b,c   Kurbatsky, Viktor ^a,c   Panasetsky, Daniil ^a,c   Spiryaev, Vadim ^a  

^a MELENTIEV ENERGY SYSTEMS INSTITUTE   (Russian Federation)

^b IRKUTSK STATE UNIVERSITY   (Russian Federation)

^c IRKUTSK NATIONAL RESEARCH TECHNICAL UNIVERSITY   (Russian Federation)

Author keywords

Alarm states detection; Classification; Energy efficiency; Forecast parameters; Hilbert Huang transform; Power systems; Random forest; Regression; SVM

Indexed keywords

EID: 84924366397     PISSN: 09740635     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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