Adaptive fuzzy controller based early detection and prevention of asymmetrical faults in power systems

M Ali, K Kaur, M Adnan, S Nisar - Control Engineering Practice, 2023 - Elsevier
The inclusion of smart electronic devices and the integration of a large number of renewable
energy resources (RERs) make network monitoring and control complicated in a power …

PRS-P2P: A prosumer recommender system for secure P2P energy trading using Q-learning towards 6G

A Kumari, R Gupta, S Tanwar - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
In this paper, we present a secure Peer-to-Peer (P2P) trading system for residential houses
that aims to maximize energy sharing and improve the operational effectiveness of utility …

Explainable AI for 6G Use Cases: Technical Aspects and Research Challenges

S Wang, MA Qureshi… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Around 2020, 5G began its commercialization journey, and discussions about the next-
generation networks (such as 6G) emerged. Researchers predict that 6G networks will have …

Adaptive control for cyber-physical systems under man-in-the-middle attacks with false data injections

R Kumar, R Dey, K Guelton, A Bali, UP Singh - Journal of the Franklin …, 2024 - Elsevier
A cyber–physical system (CPS) is often vulnerable to cyber-attacks that can cause immense
damage in real-time to the data and operation of the physical system. To prevent CPS from …

Matching Learning‐Based Relay Selection for Substation Power Internet of Things

W Wang, R Wang, H Zhang, Z Zhou… - … and Mobile Computing, 2022 - Wiley Online Library
Wireless sensor network (WSN) can effectively solve the problems of weak coverage, blind
coverage, and low survivability of smart substation communication networks by deploying …

Priority‐aware intelligent device access management for carbon footprint monitoring in sustainable cites and society

X Su, P Liu, Z Wang, H Liao, Z Zhou, G Xu… - IET …, 2023 - Wiley Online Library
Carbon footprint monitoring provides significant basis for computing facilities to improve the
computing efficiency and reduce the energy cost, which can enable low/zero carbon …

UCB‐Based Route and Power Selection Optimization for SDN‐Enabled Industrial IoT in Smart Grid

X Li, C Zhou, Z Liang, Q Yu, X Chen… - … and Mobile Computing, 2022 - Wiley Online Library
As an essential building block for smart grid, the industrial internet of things (IIoT) plays a
significant role in providing powerful sensing capability and ubiquitous connectivity for …

融合深度学习的贝叶斯滤波综述

张文安, 林安迪, 杨旭升, 俞立, 杨小牛 - 自动化学报, 2024 - aas.net.cn
当前动态系统呈现大型化, 复杂化的趋势, 基于贝叶斯滤波的动态系统状态估计遇到了一系列新
的挑战. 随着深度学习在特征提取与模式识别等方面的优势与潜力不断显现 …

Model-agnostic generation-enhanced technology for few-shot intrusion detection

J He, L Yao, X Li, MK Khan, W Niu, X Zhang, F Li - Applied Intelligence, 2024 - Springer
Malicious traffic on the Internet has become an increasingly serious problem, and several
artificial intelligence (AI)-based malicious traffic detection methods have been proposed …

Reinforcement learning-empowered graph convolutional network framework for data integrity attack detection in cyber-physical systems

E Vincent, M Korki… - CSEE Journal of …, 2024 - ieeexplore.ieee.org
The massive integration of communication and information technology with the large-scale
power grid has enhanced the efficiency, safety, and economical operation of cyber-physical …