Power Quality Disturbance Recognition Using Wavelet-Based Neural Networks

TENCON 2005 - 2005 IEEE Region 10 Conference ◽

10.1109/tencon.2005.301264 ◽

2005 ◽

Cited By ~ 1

Author(s):

S. Kaewarsa ◽

K. Attakitmongcol

Keyword(s):

Neural Networks ◽

Power Quality ◽

Power Quality Disturbance

Download Full-text

Real-Time Power Quality Disturbance Classification Using Convolutional Neural Networks

Lecture Notes in Electrical Engineering - Recent Trends in Mechatronics Towards Industry 4.0 ◽

10.1007/978-981-33-4597-3_64 ◽

2021 ◽

pp. 715-724

Author(s):

Budi Yanto Husodo ◽

Kalamullah Ramli ◽

Eko Ihsanto ◽

Teddy Surya Gunawan

Keyword(s):

Neural Networks ◽

Real Time ◽

Power Quality ◽

Convolutional Neural Networks ◽

Power Quality Disturbance

Download Full-text

Power Quality Disturbance Classification via Deep Convolutional Auto-Encoders and Stacked LSTM Recurrent Neural Networks

2020 International Conference on Smart Energy Systems and Technologies (SEST) ◽

10.1109/sest48500.2020.9203082 ◽

2020 ◽

Author(s):

Miguel Angel Rodriguez ◽

John Felipe Sotomonte ◽

Jenny Cifuentes ◽

Maximiliano Bueno-Lopez

Keyword(s):

Neural Networks ◽

Power Quality ◽

Recurrent Neural Networks ◽

Power Quality Disturbance

Download Full-text

Power quality disturbance detection and classification using wavelets and artificial neural networks

8th International Conference on Harmonics and Quality of Power. Proceedings (Cat. No.98EX227) ◽

10.1109/ichqp.1998.759843 ◽

2002 ◽

Cited By ~ 41

Author(s):

B. Perunicic ◽

M. Mallini ◽

Z. Wang ◽

Y. Liu

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Power Quality ◽

Power Quality Disturbance ◽

Artificial Neural ◽

Disturbance Detection

Download Full-text

A new Approach of Power Quality Disturbance Classification Based on Rough Membership Neural Networks

2010 Asia-Pacific Power and Energy Engineering Conference ◽

10.1109/appeec.2010.5448485 ◽

2010 ◽

Author(s):

Lixia Wang ◽

Zhengyou He ◽

Jing Zhao

Keyword(s):

Neural Networks ◽

Power Quality ◽

New Approach ◽

Power Quality Disturbance

Download Full-text

Electric power quality disturbance classification using self-adapting artificial neural networks

IEE Proceedings - Generation Transmission and Distribution ◽

10.1049/ip-gtd:20020014 ◽

2002 ◽

Vol 149 (1) ◽

pp. 98 ◽

Cited By ~ 36

Author(s):

J.V. Wijayakulasooriya ◽

G.A. Putrus ◽

P.D. Minns

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Electric Power ◽

Power Quality ◽

Electric Power Quality ◽

Power Quality Disturbance ◽

Artificial Neural

Download Full-text

Classification of Power Quality Disturbance Signals Using FFT, STFT, Wavelet Transforms and Neural Networks - A Comparative Analysis

International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) ◽

10.1109/iccima.2007.279 ◽

2007 ◽

Cited By ~ 2

Author(s):

D. Devaraj Jayasree

Keyword(s):

Neural Networks ◽

Comparative Analysis ◽

Power Quality ◽

Wavelet Transforms ◽

Power Quality Disturbance

Download Full-text

Power Quality Disturbance Classification Based on Compressed Sensing and Deep Convolution Neural Networks

IEEE Access ◽

10.1109/access.2019.2922367 ◽

2019 ◽

Vol 7 ◽

pp. 78336-78346 ◽

Cited By ~ 9

Author(s):

Jidong Wang ◽

Zhilin Xu ◽

Yanbo Che

Keyword(s):

Neural Networks ◽

Compressed Sensing ◽

Power Quality ◽

Convolution Neural Networks ◽

Power Quality Disturbance

Download Full-text

Review for "Islanding and power quality disturbance monitoring in microgrid using adaptive cross variational mode decomposition and reduced kernel ridge regression"

10.1002/2050-7038.12364/v2/review1 ◽

2020 ◽

Author(s):

Muhammad Adil

Keyword(s):

Power Quality ◽

Ridge Regression ◽

Variational Mode Decomposition ◽

Kernel Ridge Regression ◽

Mode Decomposition ◽

Power Quality Disturbance

Download Full-text

Review for "Islanding and power quality disturbance monitoring in microgrid using adaptive cross variational mode decomposition and reduced kernel ridge regression"

10.1002/2050-7038.12364/v1/review2 ◽

2019 ◽

Keyword(s):

Power Quality ◽

Ridge Regression ◽

Variational Mode Decomposition ◽

Kernel Ridge Regression ◽

Mode Decomposition ◽

Power Quality Disturbance

Download Full-text

The Mystery Curve: A Signal Processing Based Power Quality Disturbance Detection

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2020.3026268 ◽

2020 ◽

pp. 1-1

Author(s):

Ramesh N ◽

Deepa S ◽

P. Vanaja Ranjan

Keyword(s):

Signal Processing ◽

Power Quality ◽

Power Quality Disturbance ◽

Disturbance Detection

Download Full-text