Classification of disturbances in hybrid DG system using modular PNN and SVM

International Journal of Electrical Power and Energy Systems

Volumn 44, Issue 1, 2013, Pages 764-777

  Mohanty, Soumya R ^a   Ray, Prakash K ^b   Kishor, Nand ^a   Panigrahi, B K ^c  

^a MOTILAL NEHRU NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^b INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY   (India)

^c INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

Classification; Detection; Power quality; Probabilistic neural network; S transform; Support vector machines

Indexed keywords

CLASSIFICATION PROCESS; DATA SETS; DATA SIZE; DG SYSTEM; DISTURBANCE SIGNALS; EXPERIMENTAL PROTOTYPE; GRID-CONNECTED; HYBRID POWER SYSTEMS; INITIAL STAGES; ISLANDING; POWER QUALITY DISTURBANCES; PROBABILISTIC NEURAL NETWORKS; S TRANSFORMS; WIND SPEED;

CLASSIFICATION (OF INFORMATION); DISTRIBUTED POWER GENERATION; ERROR DETECTION; FEATURE EXTRACTION; NEURAL NETWORKS; POWER QUALITY; SIGNAL DETECTION;

SUPPORT VECTOR MACHINES;

EID: 84866528039     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2012.08.020     Document Type: Article

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