Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Analysis of safety and security challenges and opportunities related to cyber-physical systems
A cyber-physical system (CPS) is an interconnected physical system that can be monitored,
controlled, and operated remotely. A systems-based analysis of CPS is critical for enhancing …
controlled, and operated remotely. A systems-based analysis of CPS is critical for enhancing …
Application of two-stage robust optimization theory in power system scheduling under uncertainties: A review and perspective
Multi-uncertainties impose enormous challenges to the optimal scheduling of power
systems, and two-stage robust optimization (TSRO) theory has been widely investigated and …
systems, and two-stage robust optimization (TSRO) theory has been widely investigated and …
A modified particle swarm optimization using adaptive strategy
In expert systems, complex optimization problems are usually nonlinear, nonconvex,
multimodal and discontinuous. As an efficient and simple optimization algorithm, particle …
multimodal and discontinuous. As an efficient and simple optimization algorithm, particle …
[HTML][HTML] Smart grid encounters edge computing: Opportunities and applications
Smart grids (SGs) are reforming towards utilizing massive data for operations and services.
During this reform, the information and communication technologies (ICTs) play a critical …
During this reform, the information and communication technologies (ICTs) play a critical …
Resilience-driven optimal sizing and pre-positioning of mobile energy storage systems in decentralized networked microgrids
Networked microgrids are considered an effective way to enhance resilience of localized
energy systems. Recently, research efforts across the world have been focusing on the …
energy systems. Recently, research efforts across the world have been focusing on the …
Cyber-attack recovery strategy for smart grid based on deep reinforcement learning
The integration of cyber-physical system increases the vulnerabilities of critical power
infrastructures. Once the malicious attackers take the substation control authorities, they can …
infrastructures. Once the malicious attackers take the substation control authorities, they can …
Data-driven learning-based classification model for mitigating false data injection attacks on dynamic line rating systems
The increasing need to explore electric power grid expansion technologies like dynamic line
rating (DLR) systems and their dependence on real-time weather data for system planning …
rating (DLR) systems and their dependence on real-time weather data for system planning …
A three-level planning model for optimal sizing of networked microgrids considering a trade-off between resilience and cost
Extreme events can cause severe power system damage. Resilience-driven operation of
networked microgrids (MGs) has been heavily studied in literature. There is, though, little …
networked microgrids (MGs) has been heavily studied in literature. There is, though, little …
Decentralized-distributed robust electric power scheduling for multi-microgrid systems
This paper proposes a novel decentralized-distributed (DD) adaptive robust optimization
(ARO) method to address the efficient distributed scheduling of multi-microgrid systems …
(ARO) method to address the efficient distributed scheduling of multi-microgrid systems …
[HTML][HTML] A resilience-based recovery scheme for smart grid restoration following cyberattacks to substations
The recent surge of interest towards deploying cyber systems in power grids exposes the
resulted Smart Grids (SGs) to cyberattacks, and consequently resilience degradation …
resulted Smart Grids (SGs) to cyberattacks, and consequently resilience degradation …