Overview of smart grid implementation: Frameworks, impact, performance and challenges
High consumption and ever-increasing demand for electricity at commercial, residential, and
industrial levels have attracted the research community to look for new technologies for the …
industrial levels have attracted the research community to look for new technologies for the …
Cyber‐physical attacks and defences in the smart grid: a survey
The smart grid is arguably one of the most complex cyber‐physical systems (CPS). Complex
security challenges have been revealed in both the physical and the cyber parts of the smart …
security challenges have been revealed in both the physical and the cyber parts of the smart …
Distributed blockchain-based data protection framework for modern power systems against cyber attacks
The cyber security of modern power systems has drawn increasing attention in both
academia and industry. Many detection and defense methods for cyber-attacks have …
academia and industry. Many detection and defense methods for cyber-attacks have …
A manufacturing big data solution for active preventive maintenance
J Wan, S Tang, D Li, S Wang, C Liu… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Industry 4.0 has become more popular due to recent developments in cyber-physical
systems, big data, cloud computing, and industrial wireless networks. Intelligent …
systems, big data, cloud computing, and industrial wireless networks. Intelligent …
Unsupervised machine learning-based detection of covert data integrity assault in smart grid networks utilizing isolation forest
Being one of the most multifaceted cyber-physical systems, smart grids (SGs) are arguably
more prone to cyber-threats. A covert data integrity assault (CDIA) on a communications …
more prone to cyber-threats. A covert data integrity assault (CDIA) on a communications …
Design automation of cyber-physical systems: Challenges, advances, and opportunities
A cyber-physical system (CPS) is an integration of computation with physical processes
whose behavior is defined by both computational and physical parts of the system. In this …
whose behavior is defined by both computational and physical parts of the system. In this …
Online generative adversary network based measurement recovery in false data injection attacks: A cyber-physical approach
Y Li, Y Wang, S Hu - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
State estimation plays a critical role in maintaining operational stability of a power system,
which is however vulnerable to attacks. False data injection (FDI) attacks can manipulate the …
which is however vulnerable to attacks. False data injection (FDI) attacks can manipulate the …
Fraud detection in electric power distribution: An approach that maximizes the economic return
P Massaferro, JM Di Martino… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The detection of non-technical losses (NTL) is a very important economic issue for power
utilities. Diverse machine learning strategies have been proposed to support electric power …
utilities. Diverse machine learning strategies have been proposed to support electric power …
Intrusion detection in smart meters data using machine learning algorithms: A research report
M Ravinder, V Kulkarni - Frontiers in Energy Research, 2023 - frontiersin.org
The intrusion detection in network traffic for crucial smart metering applications based on
radio sensor networks is becoming very important in the Smart Grid area. The network's …
radio sensor networks is becoming very important in the Smart Grid area. The network's …
Secure distributed dynamic state estimation in wide-area smart grids
Smart grid is a large complex network with a myriad of vulnerabilities, usually operated in
adversarial settings and regulated based on estimated system states. In this study, we …
adversarial settings and regulated based on estimated system states. In this study, we …