Risk Early Warning of Power Systems With Partial State Observations Based on the Graph Attention Neural Network
Author:
Affiliation:
1. School of Automation, Beijing Institute of Technology,Beijing,China,100081
2. State Grid Information & Communication CO. LTD.,Chengdu,China,610041
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10181241/10181318/10181351.pdf?arnumber=10181351
Reference7 articles.
1. A survey on the micro-phasor measurement unit in distribution networks;dusabimana;Electronics,2020
2. A risk-aware generation dispatch including wind power for a power grid subjected to hurricanes
3. Analysis on large-scale blackout occurred in south america and north mexico interconnected power grid on sept. 8, 2011 and lessons for electric power dispatching in china;geli;Power System Technology,2012
4. Research on Fault Early Warning Technology of Key Operation Nodes in Power Communication Network
5. Construction and Training of Cloud Computing-Based Smart Grid Operation Risk Early Warning Model
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