Zobrazeno 1 - 10
of 329
pro vyhledávání: '"Kundur Deepa"'
Autor:
Saber, Ahmad Mohammad, Selim, Alaa, Hammad, Mohamed M., Youssef, Amr, Kundur, Deepa, El-Saadany, Ehab
With the rapid integration of electronically interfaced renewable energy resources and loads into smart grids, there is increasing interest in power quality disturbances (PQD) classification to enhance the security and efficiency of these grids. This
Externí odkaz:
http://arxiv.org/abs/2409.00025
Autor:
Saber, Ahmad Mohammad, Youssef, Amr, Svetinovic, Davor, Zeineldin, Hatem, Kundur, Deepa, El-Saadany, Ehab
Recently, there has been a growing interest in utilizing machine learning for accurate classification of power quality events (PQEs). However, most of these studies are performed assuming an ideal situation, while in reality, we can have measurement
Externí odkaz:
http://arxiv.org/abs/2402.14949
The ongoing modernization of the power system, involving new equipment installations and upgrades, exposes the power system to the introduction of malware into its operation through supply chain attacks. Supply chain attacks present a significant thr
Externí odkaz:
http://arxiv.org/abs/2309.05814
Autor:
Mohamed, Amr S., Kundur, Deepa
The electric grid is an attractive target for cyberattackers given its critical nature in society. With the increasing sophistication of cyberattacks, effective grid defense will benefit from proactively identifying vulnerabilities and attack strateg
Externí odkaz:
http://arxiv.org/abs/2303.15736
The tight coupling between communication and control in cyber-physical systems is necessary to enable the complex regulation required to operate these systems. Unfortunately, cyberattackers can exploit network vulnerabilities to compromise communicat
Externí odkaz:
http://arxiv.org/abs/2303.02197
Smart grids are critical cyber-physical systems that are vital to our energy future. Smart grids' fault resilience is dependent on the use of advanced protection systems that can reliably adapt to changing conditions within the grid. The vast amount
Externí odkaz:
http://arxiv.org/abs/2302.14126
Autor:
Al-Darabsah, Isam, Hsueh, Kuei-Fang, Khalil, Abdelrahman, Al Janaideh, Mohammad, Campbell, Sue Ann, Kundur, Deepa
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena July 2024 184
Autor:
Elsayed, Ahmed Abd Elaziz a, c, ⁎, Khalaf, Mohsen b, c, Mohamed, Mansour Ahmed c, Nayel, Mohamed Abd Elazim c, Kundur, Deepa b
Publikováno v:
In Electric Power Systems Research April 2025 241
In this paper, several Collaborative Filtering (CF) approaches with latent variable methods were studied using user-item interactions to capture important hidden variations of the sparse customer purchasing behaviours. The latent factors are used to
Externí odkaz:
http://arxiv.org/abs/2009.08950
Publikováno v:
In Mechanical Systems and Signal Processing 1 May 2023 190