A Hybrid Signal Processing Technique for Recognition of Complex Power Quality Disturbances
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Reference28 articles.
1. Power Quality Assessment and Event Detection in Distribution Network with Wind Energy Penetration Using Stockwell Transform and Fuzzy Clustering;Mahela;IEEE Transactions on Industrial Informatics,2020
2. A critical review of detection and classification of power quality events;Mahela;Renewable and Sustainable Energy Reviews (Elsevier),2015
3. Support Vector Machines;Cristiani,2018
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5. Wavelet Based On-Line Disturbance Detection for Power Quality Applications;Karimi;IEEE Transactions on Power Delivery,2000
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1. Power quality disturbances identification based on deep neural network model of time-frequency feature fusion;Electric Power Systems Research;2024-06
2. Real-time Power Quality Detection System Based on Genetic Algorithm and Wavelet Transform;2023 International Conference on Internet of Things, Robotics and Distributed Computing (ICIRDC);2023-12-29
3. Power Quality Disturbances Segmentation: An Approach Based on Gramian Angular Field;Electric Power Components and Systems;2023-09-25
4. Classification of multiple power quality disturbances based on continuous wavelet transform and lightweight convolutional neural network;Energy Science & Engineering;2023-07-10
5. Spotting the Power Quality Events Associated to Utility Distribution Power Network with Solar Energy Power Generation;2023 IEEE 8th International Conference for Convergence in Technology (I2CT);2023-04-07
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