Real‐time stability assessment in smart cyber‐physical grids: a deep learning approach

Author:

Darbandi Farzad1,Jafari Amirreza1,Karimipour Hadis2ORCID,Dehghantanha Ali3,Derakhshan Farnaz1,Raymond Choo Kim‐Kwang4

Affiliation:

1. Electrical and Computer Engineering DepartmentUniversity of TabrizTabrizIran

2. School of EngineeringUniversity of GuelphGuelphCanada

3. School of Computer ScienceUniversity of GuelphGuelphCanada

4. Department of Information Systems and Cyber Securitythe University of Texas at San AntonioTexasUSA

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Reference29 articles.

1. A distributed control approach for enhancing smart grid transient stability and resilience;Ayar M.;IEEE Trans Smart Grid,2017

2. Toward Data Integrity Attacks Against Optimal Power Flow in Smart Grid

3. A deep and scalable unsupervised machine learning system for cyber‐attack detection in large‐scale smart grids;Karimipour H.;IEEE Access,2019

4. Toward a Gaussian‐mixture model‐based detection scheme against data integrity attacks in the smart grid;Yang X.;IEEE Internet Things J.,2018

5. Robust massively parallel dynamic state estimation of power systems against cyber‐attack;Karimipour H.;IEEE Access,2018

Cited by 21 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. Low computational cost convolutional neural network for smart grid frequency stability prediction;Internet of Things;2024-04

2. Comparative Analysis of Machine Learning Techniques to Predict Stability in Smart Grid;2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS);2024-03-14

3. A Systematic Analysis of Enhancing Cyber Security Using Deep Learning for Cyber Physical Systems;IEEE Access;2024

4. Set-point Adjustment Attacks on Under Frequency Load Shedding Relays: A Risk Assessment Study;2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE);2023-10-23

5. Data-driven Stability Assessment for New Power Systems: Typical Characteristics, Research Framework and Future Prospects;2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia);2023-07-07

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

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