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Voltage Sag and Swell Estimation Using ANFIS for Power System Applications
Author(s) -
N. Malmurugan,
Devarajan Gopal,
Young Hwan Lho
Publication year - 2013
Publication title -
han-guk cheoldo hakoe nonmunjip/han'gug cheoldo haghoe nonmunjib
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.201
H-Index - 4
eISSN - 2288-2235
pISSN - 1738-6225
DOI - 10.7782/jksr.2013.16.4.272
Subject(s) - voltage sag , swell , adaptive neuro fuzzy inference system , electric power system , voltage , context (archaeology) , control theory (sociology) , electric power quality , power (physics) , engineering , fuzzy inference system , computer science , power quality , electronic engineering , fuzzy logic , control engineering , fuzzy control system , artificial intelligence , electrical engineering , paleontology , oceanography , physics , control (management) , quantum mechanics , geology , biology

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