Addressing Power Quality Issues through Deep Learning-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Addressing Power Quality Issues through Deep Learning

Published:2023-11-27 Issue: Volume:2 Page:1-5
ISSN:
Container-title:2023 2nd International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)
language:
Short-container-title:

Author:

Siddiqui Hareem¹,Rahim Areesha¹,Asad Muhammad Usman²,Gu Jason²,Abbas Ghulam³,Farooq Umar¹

Affiliation:

1. University of the Punjab,Intelligent Systems Lab & Automation Facility (ISLAF), IEECE,Lahore,Pakistan

2. Dalhousie University,Department of Electrical and Computer Engineering,Halifax,Canada

3. The University of Lahore,Department of Electrical Engineering,Lahore,Pakistan,54000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10395910/10396660/10396733.pdf?arnumber=10396733

Reference10 articles.

1. Investigation of the Power Quality Concerns of Input Current in Single-Phase Frequency Step-Down Converter

2. Power Quality Problems and New Solutions

3. Power Quality Analysis of the Output Voltage of AC Voltage and Frequency Controllers Realized with Various Voltage Control Techniques

4. Classification of Power Quality Disturbances via Deep Learning

5. A Comparison of Power Quality Disturbance Detection and Classification Methods Using CNN, LSTM and CNN-LSTM

同舟云学术

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