Differential evolution-based three stage dynamic cyber-attack of cyber-physical power systems
With the rapid development of communication, control, and computer technology, traditional
power systems have evolved into cyber-physical power system (CPPS). However, CPPS not …
power systems have evolved into cyber-physical power system (CPPS). However, CPPS not …
[HTML][HTML] Evolving long short-term memory neural network for wind speed forecasting
Wind speed forecasting plays a crucial role in reducing the risk of wind power uncertainty,
which is vital for power system planning, scheduling, control, and operation. However, it is …
which is vital for power system planning, scheduling, control, and operation. However, it is …
A decision-making and planning optimization framework for multi-regional rural hybrid renewable energy system
S Li, L Zhang, X Wang, C Zhu - Energy Conversion and Management, 2022 - Elsevier
Abstract Rural Hybrid Renewable Energy Systems (RHRESs) coupled with rooftop
photovoltaics, wind power, small hydropower and biogas digesters effectively drive the rural …
photovoltaics, wind power, small hydropower and biogas digesters effectively drive the rural …
An improved binary quantum-behaved particle swarm optimization algorithm for knapsack problems
The 0-1 knapsack problem is a typical NP-hard combinatorial optimization problem that is
difficult to solve efficiently based on traditional optimization approaches. Binary quantum …
difficult to solve efficiently based on traditional optimization approaches. Binary quantum …
TS-IDS: Traffic-aware self-supervised learning for IoT Network Intrusion Detection
With recent advances in the Internet of Things (IoT) technology, more people can have
instant and easy access to the IoT network of vast and diverse interconnected devices (eg …
instant and easy access to the IoT network of vast and diverse interconnected devices (eg …
Intelligent fault classification of air compressors using Harris hawks optimization and machine learning algorithms
Due to their complexity and often harsh working environment, air compressors are inevitably
exposed to a variety of faults and defects during their operation. Thus, condition monitoring …
exposed to a variety of faults and defects during their operation. Thus, condition monitoring …
An improved beetle antennae search algorithm with Lévy flight and its application in micro-laser assisted turning
The beetle antennae search (BAS) algorithm is a single-solution metaheuristic optimizer that
imitates the foraging behavior of beetles. Due to its easy implementation and fast …
imitates the foraging behavior of beetles. Due to its easy implementation and fast …
Cybersecurity Challenges of Power Transformers
H Rahimpour, J Tusek, A Abuadbba… - arXiv preprint arXiv …, 2023 - arxiv.org
The rise of cyber threats on critical infrastructure and its potential for devastating
consequences, has significantly increased. The dependency of new power grid technology …
consequences, has significantly increased. The dependency of new power grid technology …
Implementation of Novel Reduced-Order H∞ Filter for Simultaneous Detection and Mitigation of FDI-Attacks in AGC Systems
Recent developments in power systems to build a smart grid depend critically on
communication networks which provide unprecedented advantages for comprehensive …
communication networks which provide unprecedented advantages for comprehensive …
Adaptive neural control for nonlinear systems with sensor fault and input nonlinearities
In this work, the problem of adaptive neural control for nonlinear systems with input
nonlinearities and sensor fault in non-strict feedback form is addressed. Input saturation and …
nonlinearities and sensor fault in non-strict feedback form is addressed. Input saturation and …