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Related papers: Anomaly Detection in Power Markets and Systems

200 papers

With the rapid increase in the integration of renewable energy generation and the wide adoption of various electric appliances, power grids are now faced with more and more challenges. One prominent challenge is to implement efficient…

Machine Learning · Computer Science 2021-07-23 Jiuqi Elise Zhang , Di Wu , Benoit Boulet

Smart grid data can be evaluated for anomaly detection in numerous fields, including cyber-security, fault detection, electricity theft, etc. The strange anomalous behaviors may have been caused by various reasons, including peculiar…

Cryptography and Security · Computer Science 2023-06-06 Shampa Banik , Sohag Kumar Saha , Trapa Banik , S M Mostaq Hossain

This paper describes the architecture and the fundamental methodology of an anomaly detector, which by continuously monitoring Simple Network Management Protocol data and by processing it as complex-events, is able to timely recognize…

Cryptography and Security · Computer Science 2021-06-29 Massimiliano Leone Itria , Enrico Schiavone , Nicola Nostro

The fundamental changes in power supply and increasing decentralization require more active grid operation and an increased integration of ICT at all power system actors. This trend raises complexity and increasingly leads to interactions…

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

The Internet of Things (IoT) is a system that connects physical computing devices, sensors, software, and other technologies. Data can be collected, transferred, and exchanged with other devices over the network without requiring human…

Machine Learning · Computer Science 2023-01-03 Eleonora Achiluzzi , Menglu Li , Md Fahd Al Georgy , Rasha Kashef

Anomaly detection is concerned with identifying data patterns that deviate remarkably from the expected behaviour. This is an important research problem, due to its broad set of application domains, from data analysis to e-health,…

Machine Learning · Computer Science 2021-08-23 L. Erhan , M. Ndubuaku , M. Di Mauro , W. Song , M. Chen , G. Fortino , O. Bagdasar , A. Liotta

Components of electrical power systems are susceptible to failures caused by lightning strikes, aging or human errors. These faults can cause equipment damage, affect system reliability, and results in expensive repair costs. As electric…

Systems and Control · Electrical Eng. & Systems 2025-07-15 Juan A. Martinez-Velasco , Alexandre Serrano-Fontova , Ricard Bosch-Tous , Pau Casals-Torrens

Over the last few decades, extensive use of information and communication technologies has been the main driver of the digitalization of power systems. Proper and secure monitoring of the critical grid infrastructure became an integral part…

Machine Learning · Computer Science 2022-09-27 Yuval Abraham Regev , Henrik Vassdal , Ugur Halden , Ferhat Ozgur Catak , Umit Cali

The evolving landscape of electric power networks, influenced by the integration of distributed energy resources require the development of novel power system monitoring and control architectures. This paper develops algorithm to monitor…

Systems and Control · Electrical Eng. & Systems 2024-12-05 Erfan Mehdipour Abadi , Masoud H. Nazari

Ongoing research on anomaly detection for the Internet of Things (IoT) is a rapidly expanding field. This growth necessitates an examination of application trends and current gaps. The vast majority of those publications are in areas such…

Software Engineering · Computer Science 2022-07-20 Ayan Chatterjee , Bestoun S. Ahmed

As the communication industry has connected distant corners of the globe using advances in network technology, intruders or attackers have also increased attacks on networking infrastructure commensurately. System administrators can attempt…

Cryptography and Security · Computer Science 2012-11-21 Monowar H. Bhuyan , D. K. Bhattacharyya , J. K. Kalita

Detecting anomalies at the time of happening is vital in environments like buildings and homes to identify potential cyber-attacks. This paper discussed the various mechanisms to detect anomalies as soon as they occur. We shed light on…

Machine Learning · Computer Science 2022-10-06 Yasar Majib , Mahmoud Barhamgi , Behzad Momahed Heravi , Sharadha Kariyawasam , Charith Perera

Given sensor readings over time from a power grid, how can we accurately detect when an anomaly occurs? A key part of achieving this goal is to use the network of power grid sensors to quickly detect, in real-time, when any unusual events,…

Machine Learning · Computer Science 2021-12-06 Shimiao Li , Amritanshu Pandey , Bryan Hooi , Christos Faloutsos , Larry Pileggi

Modern power grids are transitioning towards power electronics-dominated grids (PEDG) due to the increasing integration of renewable energy sources and energy storage systems. This shift introduces complexities in grid operation and…

Systems and Control · Electrical Eng. & Systems 2025-01-24 Ildar N. Idrisov , Divine Okeke , Abdullatif Albaseer , Mohamed Abdallah , Federico M. Ibanez

The increasing digitization of smart grids has made addressing cybersecurity issues crucial in order to secure the power supply. Anomaly detection has emerged as a key technology for cybersecurity in smart grids, enabling the detection of…

Cryptography and Security · Computer Science 2023-12-22 Ömer Sen , Simon Glomb , Martin Henze , Andreas Ulbig

Smart grid systems are critical to the power industry, however their sophisticated architectural design and operations expose them to a number of cybersecurity threats, such as data tampering, data eavesdropping, and Denial of Service,…

Cryptography and Security · Computer Science 2022-02-16 J. D. Ndibwile

The rapid development in the field of System of Chip (SoC) technology, Internet of Things (IoT), cloud computing, and artificial intelligence has brought more possibilities of improving and solving the current problems. With data analytics…

Machine Learning · Computer Science 2021-09-29 Xinze Li , Baixi Zou

Enormous amounts of data are being produced everyday by sub-meters and smart sensors installed in residential buildings. If leveraged properly, that data could assist end-users, energy producers and utility companies in detecting anomalous…

Computers and Society · Computer Science 2021-02-15 Yassine Himeur , Khalida Ghanem , Abdullah Alsalemi , Faycal Bensaali , Abbes Amira

Modern networked systems are constantly under threat from systemic attacks. There has been a massive upsurge in the number of devices connected to a network as well as the associated traffic volume. This has intensified the need to better…

Cryptography and Security · Computer Science 2020-06-15 Nidhi Rastogi
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