z-logo
open-access-imgOpen Access
Adaptive neuro-fuzzy inference system to improve the power quality of variable-speed wind power generation system
Author(s) -
Yüksel Oğuz,
KAMİL RİFAT İRFAN GÜNEY
Publication year - 2010
Publication title -
turkish journal of electrical engineering and computer sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 30
eISSN - 1303-6203
pISSN - 1300-0632
DOI - 10.3906/elk-0907-115
Subject(s) - adaptive neuro fuzzy inference system , control theory (sociology) , wind speed , wind power , turbine , variable speed wind turbine , electric power system , variable (mathematics) , voltage , computer science , power (physics) , fuzzy control system , fuzzy logic , engineering , control engineering , control (management) , permanent magnet synchronous generator , mathematics , electrical engineering , artificial intelligence , mechanical engineering , mathematical analysis , physics , quantum mechanics , meteorology
doi:10.3906/elk-0907-115 Adaptive neuro-fuzzy inference system to improve the power quality of variable-speed wind power generation syste

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom