Power quality disturbance classification based on efficient adaptive Arrhenius artificial bee colony feature selection
Author:
Affiliation:
1. Assistant Professor, Department of EEE University College of Engineering Kancheepuram Kanchipuram India
2. Professor, Department of EEE Thiagarajar College of Engineering Madurai India
Publisher
Hindawi Limited
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/2050-7038.12868
Reference37 articles.
1. Mathematics of Neural Networks
2. A comprehensive overview on signal processing and artificial intelligence techniques applications in classification of power quality disturbances
3. Multicomponent decomposition by wavelet modulus maxima and synchronous detection
4. Time-frequency and time-scale domain analysis of voltage disturbances
Cited by 4 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. A new deep learning method for classification of power quality disturbances using DWT-MRA in utility smart grid;Computers and Electrical Engineering;2024-07
2. Detection of Power Quality Disturbances in Real Time Based on FPGA;2023 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC);2023-10-18
3. Simulation of Software Engineering Knowledge Classification Model Based on Worker Bee Colony Algorithm;2023 IEEE International Conference on Image Processing and Computer Applications (ICIPCA);2023-08-11
4. Feature Selection Based on Adaptive Particle Swarm Optimization with Leadership Learning;Computational Intelligence and Neuroscience;2022-08-28
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