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The increasing share of renewable energy and distributed electricity generation requires the development of deep learning approaches to address the lack of flexibility inherent in traditional power grid methods. In this context, Graph…

Machine Learning · Computer Science 2026-01-08 Mohamed Hassouna , Clara Holzhüter , Pawel Lytaev , Josephine Thomas , Bernhard Sick , Christoph Scholz

Security assessment is one of the most crucial functions of a power system operator. However, growing complexity and unpredictability make this an increasingly complex and computationally difficult task. In recent times, machine learning…

Systems and Control · Electrical Eng. & Systems 2024-06-06 Glory Justin , Santiago Paternain

With the advent of the electric power big data era, semantic interoperability and interconnection of power data have received extensive attention. Knowledge graph technology is a new method describing the complex relationships between…

Artificial Intelligence · Computer Science 2022-11-03 Jian Wang , Xi Wang , Chaoqun Ma , Lei Kou

Understanding and analyzing cascading failures in power grids have been the focus of many researchers for years. However, the complex interactions among the large number of components in these systems and their contributions to cascading…

Physics and Society · Physics 2020-06-15 Upama Nakarmi , Mahshid Rahnamay Naeini , Md Jakir Hossain , Md Abul Hasnat

In recent years, advanced sensors, intelligent automation, communication networks, and information technologies have been integrated into the electric grid to enhance its performance and efficiency. Integrating these new technologies has…

Systems and Control · Computer Science 2015-06-02 Reza Arghandeh , Alexandra von Meier , Laura Mehrmanesh , Lamine Mili

Smart Grid has rapidly transformed the centrally controlled power system into a massively interconnected cyber-physical system that benefits from the revolutions happening in the communications (e.g. 5G) and the growing proliferation of the…

Cryptography and Security · Computer Science 2022-05-10 Haftu Tasew Reda , Adnan Anwar , Abdun Mahmood

Power grids increasingly need real-time situational awareness under the ever-evolving cyberthreat landscape. Advances in snapshot-based system identification approaches have enabled accurately estimating states and topology from a snapshot…

Systems and Control · Electrical Eng. & Systems 2025-10-17 Shimiao Li , Guannan Qu , Bryan Hooi , Vyas Sekar , Soummya Kar , Larry Pileggi

Today's smart-grids have seen a clear rise in new ways of energy generation, transmission, and storage. This has not only introduced a huge degree of variability, but also a continual shift away from traditionally centralized generation and…

Emerging Technologies · Computer Science 2022-06-14 Himanshu Neema , Harsh Vardhan , Carlos Barreto , Xenofon Koutsoukos

The modern power grids are integrated with digital technologies and automation systems. The inclusion of digital technologies has made the smart grids vulnerable to cyber-attacks. Cyberattacks on smart grids can compromise data integrity…

Cryptography and Security · Computer Science 2025-03-04 Smruti P. Dash , Kedar V. Khandeparkar , Nipun Agrawal

The shift to smart grids has made electrical power systems more vulnerable to sophisticated cyber threats. To protect these systems, holistic security measures that encompass preventive, detective, and reactive components are required, even…

Cryptography and Security · Computer Science 2024-12-09 Omer Sen , Mehdi Akbari Gurabi , Milan Deruelle , Andreas Ulbig , Stefan Decker

Efficient and accurate state estimation is essential for the optimal management of the future smart grid. However, to meet the requirements of deploying the future grid at a large scale, the state estimation algorithm must be able to…

Information Theory · Computer Science 2017-09-29 Jung-Chieh Chen , Hwei-Ming Chung , Chao-Kai Wen , Wen-Tai Li , Jen-Hao Teng

Data-driven state estimation (SE) is becoming increasingly important in modern power systems, as it allows for more efficient analysis of system behaviour using real-time measurement data. This paper thoroughly evaluates a phasor…

Machine Learning · Computer Science 2023-03-03 Ognjen Kundacina , Gorana Gojic , Mirsad Cosovic , Dragisa Miskovic , Dejan Vukobratovic

Critical infrastructure systems, including energy grids, healthcare facilities, transportation networks, and water distribution systems, are pivotal to societal stability and economic resilience. However, the increasing interconnectivity of…

Cryptography and Security · Computer Science 2025-12-25 Jenifer Paulraj , Brindha Raghuraman , Nagarani Gopalakrishnan , Yazan Otoum

Modern electrical power grids represent complex cyber-physical systems requiring specialized cybersecurity frameworks beyond traditional IT security models. Existing threat intelligence standards such as STIX 2.1 and MITRE ATT\&CK lack…

Cryptography and Security · Computer Science 2025-11-17 Benjamin Blakely , Daniel Karcz

Facing the dynamic complex cyber environments, internal and external cyber threat intelligence, and the increasing risk of cyber-attack, knowledge graphs show great application potential in the cyber security area because of their…

Cryptography and Security · Computer Science 2022-04-12 Kai Liu , Fei Wang , Zhaoyun Ding , Sheng Liang , Zhengfei Yu , Yun Zhou

The increased integration of information and communications technology at the distribution grid level offers broader opportunities for active operational management concepts. At the same time, requirements for resilience against internal…

Systems and Control · Electrical Eng. & Systems 2024-10-15 Immanuel Hacker , Ömer Sen , Dennis van der Velde , Florian Schmidtke , Andreas Ulbig

Microgrids are localized electrical grids with control capability that are able to disconnect from the traditional grid to operate autonomously. They strengthen grid resilience, help mitigate grid disturbances, and support a flexible grid…

Systems and Control · Electrical Eng. & Systems 2023-01-02 Arthur K. Barnes , Adam Mate

The advent of digital technologies has revolutionized traditional power distribution networks, transforming them into smart grids that are more reliable, efficient, and sustainable. Despite these advancements, electricity theft remains a…

Cryptography and Security · Computer Science 2026-05-26 Tapadyoti Banerjee , Pabitra Mitra , Dipanwita Roy Chowdhury

The development of Internet of Things (IoT) technologies has led to the widespread adoption of monitoring networks for a wide variety of applications, such as smart cities, environmental monitoring, and precision agriculture. A major…

Machine Learning · Computer Science 2025-02-03 Pau Ferrer-Cid , Jose M. Barcelo-Ordinas , Jorge Garcia-Vidal

The evolution of the traditional power grid into the "smart grid" has resulted in a fundamental shift in energy management, which allows the integration of renewable energy sources with modern communication technology. However, this…

Artificial Intelligence · Computer Science 2025-09-10 Abdulhakim Alsaiari , Mohammad Ilyas