Optimal feature selection for classification of power quality disturbances using wavelet packet-based fuzzy k-nearest neighbour algorithm

Selection For ◽

Optimal feature selection using modified cuckoo search for classification of power quality disturbances

Applied Soft Computing ◽

10.1016/j.asoc.2021.107897 ◽

2021 ◽

pp. 107897

Author(s):

Ibrahim Mustafa Mehedi ◽

Masoud Ahmadipour ◽

Zainal Salam ◽

Hussein Mohammed Ridha ◽

Hussein Bassi ◽

...

Keyword(s):

Feature Selection ◽

Power Quality ◽

Cuckoo Search ◽

A new optimal feature selection scheme for classification of power quality disturbances based on ant colony framework

Applied Soft Computing ◽

10.1016/j.asoc.2018.10.017 ◽

2019 ◽

Vol 74 ◽

pp. 216-225 ◽

Cited By ~ 13

Author(s):

Utkarsh Singh ◽

Shyam Narain Singh

Keyword(s):

Feature Selection ◽

Power Quality ◽

Ant Colony ◽

Selection Scheme ◽

Optimal Feature Selection for Power-Quality Disturbances Classification

IEEE Transactions on Power Delivery ◽

10.1109/tpwrd.2011.2149547 ◽

2011 ◽

Vol 26 (4) ◽

pp. 2342-2351 ◽

Cited By ~ 85

Author(s):

Chun-Yao Lee ◽

Yi-Xing Shen

Keyword(s):

Feature Selection ◽

Power Quality ◽

Selection For ◽

Optimal feature selection for classification of the power quality events using wavelet transform and least squares support vector machines

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2012.12.018 ◽

2013 ◽

Vol 49 ◽

pp. 95-103 ◽

Cited By ~ 71

Author(s):

Hüseyin Erişti ◽

Özal Yıldırım ◽

Belkıs Erişti ◽

Yakup Demir

Keyword(s):

Feature Selection ◽

Wavelet Transform ◽

Support Vector Machines ◽

Power Quality ◽

Support Vector ◽

Vector Machines ◽

Selection For ◽

Classification of Power Quality Disturbances Using GA Based Optimal Feature Selection

Lecture Notes in Computer Science - Pattern Recognition and Machine Intelligence ◽

10.1007/978-3-642-11164-8_91 ◽

2009 ◽

pp. 561-566 ◽

Cited By ~ 1

Author(s):

K. R. Krishnanand ◽

Santanu Kumar Nayak ◽

B. K. Panigrahi ◽

V. Ravikumar Pandi ◽

Priyadarshini Dash

Keyword(s):

Feature Selection ◽

Power Quality ◽

A new optimal feature selection algorithm for classification of power quality disturbances using discrete wavelet transform and probabilistic neural network

Measurement ◽

10.1016/j.measurement.2016.10.013 ◽

2017 ◽

Vol 95 ◽

pp. 246-259 ◽

Cited By ~ 88

Author(s):

Suhail Khokhar ◽

Abdullah Asuhaimi Mohd Zin ◽

Aslam Pervez Memon ◽

Ahmad Safawi Mokhtar

Keyword(s):

Neural Network ◽

Feature Selection ◽

Probabilistic Neural Network ◽

Discrete Wavelet ◽

Selection Algorithm ◽

Feature Selection Algorithm ◽

Optimal feature selection for automated classification of FDG-PET in patients with suspected dementia

10.1117/12.811562 ◽

2009 ◽

Author(s):

Ahmed Serag ◽

Fabian Wenzel ◽

Frank Thiele ◽

Ralph Buchert ◽

Stewart Young

Keyword(s):

Feature Selection ◽

Fdg Pet ◽

Automated Classification ◽

Selection For ◽

Optimal Feature Selection for the Classification of Hyperspectral Imagery Using Adaptive Spectral–Spatial Clustering

International Journal of Parallel Programming ◽

10.1007/s10766-018-0607-5 ◽

2018 ◽

Vol 48 (5) ◽

pp. 813-832

Author(s):

S. Chidambaram ◽

A. Sumathi

Keyword(s):

Feature Selection ◽

Spatial Clustering ◽

Hyperspectral Imagery ◽

Selection For ◽

Optimal Feature Selection via NSGA-II for Power Quality Disturbances Classification

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2017.2773475 ◽

2018 ◽

Vol 14 (7) ◽

pp. 2994-3002 ◽

Cited By ~ 26

Author(s):

Utkarsh Singh ◽

Shyam Narain Singh

Keyword(s):

Feature Selection ◽

Power Quality ◽

Nsga Ii ◽

Feature selection for identification and classification of power quality disturbances

IEEE Power Engineering Society General Meeting, 2005 ◽

10.1109/pes.2005.1489187 ◽

2005 ◽

Cited By ~ 9

Author(s):

S. Chen

Keyword(s):

Feature Selection ◽

Power Quality ◽

Selection For