A Hybrid Model Based on CNN-LSTM to Detect and Forecast Harmonics: A Case Study of an Eskom Substation in South Africa
Author:
Affiliation:
1. Department of Electrical and Electronic Engineering Science, University of Johannesburg, Johannesburg, South Africa
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Mechanical Engineering,Energy Engineering and Power Technology
Link
https://www.tandfonline.com/doi/pdf/10.1080/15325008.2023.2181883
Reference31 articles.
1. A Comparison of Power Quality Disturbance Detection and Classification Methods Using CNN, LSTM and CNN-LSTM
2. Proposed machine learning system to predict and estimate impulse noise in OFDM communication system
3. Improving Load Forecasting Process for a Power Distribution Network Using Hybrid AI and Deep Learning Algorithms
4. Power Quality Disturbance Monitoring and Classification Based on Improved PCA and Convolution Neural Network for Wind-Grid Distribution Systems
Cited by 9 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 Combined Model of Convolutional Neural Network and Bidirectional Long Short-Term Memory with Attention Mechanism for Load Harmonics Forecasting;Energies;2024-05-30
2. Electricity Demand Forecasting using Dual Stream TBATS-CNN-LSTM Architecture;Advances in Environmental Engineering and Green Technologies;2024-05-17
3. Astrophysics-based transit search optimization heuristics for parameter estimation of multi-frequency sinusoidal signals;Modern Physics Letters B;2024-04-01
4. Training LSTMS with circular-shift epochs for accurate event forecasting in imbalanced time series;Expert Systems with Applications;2024-03
5. Suction detection and suction suppression of centrifugal blood pump based on the FFT-GAPSO-LSTM model and speed modulation;Heliyon;2024-02
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