Maximum Power Tracking Control for a Wind Energy Conversion System Based
on a Quasi-ARX Neural Network Model
By Mohammad Abu Jami'in
WORD COUNT 6914 TIME SUBMITTED 23-OCT-2018 03:41AM
PAPER ID 41373371
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Maximum Power Tracking Control for a Wind Energy
Conversion System Based on a Quasi-ARX Neural Network Model
ORIGINALITY REPORT
PRIMARY SOURCES
Jami'in, Mohammad Abu, Imam Sutrisno, and Jinglu Hu. "Maximum power tracking control for a
wind energy conversion system based on a quasi-ARX neural network model : Maximum Power Tracking Control for a Wind Energy Conversion", IEEJ Transactions on Electrical and
Electronic Engineering, 2015.
Crossref
www.iaeng.org
Int ernet
Indraneel Mukherjee, Kevin Canini, Rafael Frongillo, Yoram Singer. "Chapter 2 Parallel
Boosting with Momentum", Springer Nature America, Inc, 2013
Crossref
www.dsi.unifi.it
Int ernet
hal.archives-ouvertes.fr
Int ernet
Mesemanolis, Athanasios, Christos Mademlis, and Iordanis Kioskeridis. "High-Efficiency Control for a
Wind Energy Conversion System With Induction Generator", IEEE Transactions on Energy Conversion, 2012.
Crossref
link.springer.com
Int ernet
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eabcn.org
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www.waseda.jp
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www.hflab.ips.waseda.ac.jp
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Mohammad Abu Jami'in, Jinglu Hu, Eko Julianto. "A Lyapunov based switching control to track
maximum power point of WECS", 2016 International Joint Conference on Neural Networks (IJCNN), 2016
Crossref
real.mtak.hu
Int ernet
