An integrated PSO for parameter determination and feature selection of ELM and its application in classification of power system disturbances
Author:
Publisher
Elsevier BV
Subject
Software
Reference32 articles.
1. Detection and classification of multiple power-quality disturbances with wavelet multiclass SVM;Lin;IEEE Trans. Power Deliv.,2008
2. Power signal classification using dynamic wavelet network;Biswal;Appl. Soft Comput.,2009
3. Detection and classification of single and combined power quality disturbances using neural networks;Valtierra-Rodriguez;IEEE Trans. Ind. Electron.,2014
4. Automatic classification of power quality events and disturbances using wavelet transform and support vector machines;Erişti;IET Gener. Transm. Distrib.,2012
5. Wavelet-based neural network for power disturbance recognition and classification;Gaing;IEEE Trans. Power Deliv.,2004
Cited by 140 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. The Use of Machine Learning for Prediction of Post-Fault Rotor Angle Trajectories;IEEE Transactions on Power Systems;2024-09
2. A new deep learning method for classification of power quality disturbances using DWT-MRA in utility smart grid;Computers and Electrical Engineering;2024-07
3. SSA-ELM: A Hybrid Learning Model for Short-Term Traffic Flow Forecasting;Mathematics;2024-06-19
4. Research on classification methods for rubber based on terahertz time-domain spectroscopy with data fusion strategy;Infrared Physics & Technology;2024-06
5. An algorithm for the classification of power quality disturbance signals using a tunable-Q-factor wavelet transform and ensemble learning methodology;Electrical Engineering;2024-02-29
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3