A random forest-based approach for fault location detection in distribution systems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00202-020-01074-8.pdf
Reference28 articles.
1. Das S, Santoso S, Gaikwad A, Patel M (2014) Impedance-based fault location in transmission networks: theory and application. IEEE Access 2:537–557
2. Salim RH, Salim KCO, Bretas AS (2011) Further improvements on impedance-based fault location for power distribution systems. IET Gener Transm Distrib 5(4):467–478
3. Yuan L (2011) Generalized fault-location methods for overhead electric distribution systems. IEEE Trans Power Delivery 26(1):53–64
4. Aboshady FM, David WPT, Sumner M (September 2017) Fast fault location scheme for distribution systems based on fault transients. In: International Conference on Resilience of Transmission and Distribution Networks, Birmingham, UK
5. Das S, Santoso S, Maitra A (July 2014) Effects of distributed generators on impedance-based fault location algorithms. In: PES General Meeting| Conference & Exposition, National Harbor, USA
Cited by 25 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. Artificial intelligence approaches for accurate assessment of insulator cleanliness in high-voltage electrical systems;Electrical Engineering;2024-08-27
2. Determining target levels of power distribution system reliability indices using machine learning;Electric Power Systems Research;2024-08
3. Exploring evolutionary-tuned autoencoder-based architectures for fault diagnosis in a wind turbine gearbox;Smart Science;2024-06-11
4. ACLC: Automatic Calibration for Nonrepetitive Scanning LiDAR-Camera System Based on Point Cloud Noise Optimization;IEEE Transactions on Instrumentation and Measurement;2024
5. Semantic Segmentation-Based Intelligent Threshold-Free Feeder Detection Method for Single-Phase Ground Fault in Distribution Networks;IEEE Transactions on Instrumentation and Measurement;2024
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