:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sami, Naeem Md, Naeini, Mia
Format:	Preprint
Publié:	2023
Sujets:	Systems and Control
Accès en ligne:	https://arxiv.org/abs/2305.19390
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Modular Control of Discrete Event System for Modeling and Mitigating Power System Cascading Failures
par: Al-Rousan, Wasseem, et autres
Publié: (2025)

Contingency Identification of Cascading Failures in Power Transmission Networks
par: Zhai, Chao, et autres
Publié: (2019)

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation
par: Meng, Bo, et autres
Publié: (2025)

Power Failure Cascade Prediction using Graph Neural Networks
par: Chadaga, Sathwik, et autres
Publié: (2024)

Physics-Informed Graph Neural Jump ODEs for Cascading Failure Prediction in Power Grids
par: Sevak, Birva, et autres
Publié: (2026)

Analysis and Optimization of Robustness in Multiplex Flow Networks Against Cascading Failures
par: İrsoy, Orkun, et autres
Publié: (2025)

Cascade PID Control of an Inverted Pendulum on a Cart System: Simulation and Experimental Analysis
par: Mehrab, Khalid, et autres
Publié: (2026)

Incremental Risk Assessment for Cascading Failures in Large-Scale Multi-Agent Systems
par: Liu, Guangyi, et autres
Publié: (2026)

Modeling, Analysis, and Optimization of Cascaded Power Amplifiers
par: Moryakova, Oksana, et autres
Publié: (2025)

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications
par: Su, Tong, et autres
Publié: (2024)

A Review on Symbolic Regression in Power Systems: Methods, Applications, and Future Directions
par: Javadi, Amir Bahador, et autres
Publié: (2025)

Safe Reinforcement Learning for Power System Control: A Review
par: Yu, Peipei, et autres
Publié: (2024)

Cascading Failure Prediction via Causal Inference
par: Ghosh, Shiuli Subhra, et autres
Publié: (2024)

Artificial Intelligence in Power System Security and Stability Analysis: A Comprehensive Review
par: Zhang, Runhao
Publié: (2024)

A Review of Safe Reinforcement Learning Methods for Modern Power Systems
par: Su, Tong, et autres
Publié: (2024)

Data-Driven Analysis and Predictive Control of Descriptor Systems with Application to Power and Water Networks
par: Zhang, Yuan, et autres
Publié: (2025)

Optimizing Sensor Node Localization for Achieving Sustainable Smart Agriculture System Connectivity
par: Naeem, Mohamed
Publié: (2025)

Analysis and Mitigation of Cascading Failures Using a Stochastic Interaction Graph with Eigen-analysis
par: Guo, Zhenping, et autres
Publié: (2025)

A Novel MDP Decomposition Framework for Scalable UAV Mission Planning in Complex and Uncertain Environments
par: Quamar, Md Muzakkir, et autres
Publié: (2025)

Conveniently Identify Coils in Inductive Power Transfer System Using Machine Learning
par: Zhao, Yifan, et autres
Publié: (2025)

Spatially Dependent Sampling of Component Failures for Power System Preventive Control Against Hurricane
par: Li, Ziyue, et autres
Publié: (2025)

Optimal Power Flow in Renewable-Integrated Power Systems: A Comprehensive Review
par: Chen, Zigang
Publié: (2024)

Nonlinear Systems in Wireless Power Transfer Applications
par: Chan, H
Publié: (2025)

Review of Power Electronic Solutions for Dielectric Barrier Discharge Applications
par: Baik, Hyeongmeen, et autres
Publié: (2025)

A Safe Reinforcement Learning Algorithm for Supervisory Control of Power Plants
par: Sun, Yixuan, et autres
Publié: (2024)

Predictive Maintenance Optimization for Smart Vending Machines Using IoT and Machine Learning
par: Hasan, Md. Nisharul
Publié: (2025)

Model Free Deep Deterministic Policy Gradient Controller for Setpoint Tracking of Non-minimum Phase Systems
par: Tavakkoli, Fatemeh, et autres
Publié: (2024)

A Machine Learning-Based Reference Governor for Nonlinear Systems With Application to Automotive Fuel Cells
par: Ayubirad, Mostafaali, et autres
Publié: (2024)

Reconfigurable Power Converters with Increased Utilization for Unbalanced Power Distribution System Applications
par: Deakin, Matthew, et autres
Publié: (2024)

Inclusion of Frequency Nadir constraint in the Unit Commitment Problem of Small Power Systems Using Machine Learning
par: Rajabdorri, Mohammad, et autres
Publié: (2022)

Non-Blocking Robustness Analysis in Discrete Event Systems
par: Dony, Md Nur-A-Adam
Publié: (2025)

Advancing Cyber-Attack Detection in Power Systems: A Comparative Study of Machine Learning and Graph Neural Network Approaches
par: Yin, Tianzhixi, et autres
Publié: (2024)

Quick Updates for the Perturbed Static Output Feedback Control Problem in Linear Systems with Applications to Power Systems
par: Bahavarnia, MirSaleh, et autres
Publié: (2023)

Machine Learning for Scalable and Optimal Load Shedding Under Power System Contingency
par: Zhou, Yuqi, et autres
Publié: (2024)

On the Stability of Networked Nonlinear Negative Imaginary Systems with Applications to Electrical Power Systems
par: Chen, Yijun, et autres
Publié: (2024)

Power System Voltage Stability Boundary: Computational Results and Applications
par: Li, Zhenyao, et autres
Publié: (2025)

Gaussian Processes in Power Systems: Techniques, Applications, and Future Works
par: Tan, Bendong, et autres
Publié: (2025)

Quantifying Power Systems Resilience Using Statistical Analysis and Bayesian Learning
par: Adhikari, Apsara, et autres
Publié: (2025)

Machine Learning based Post Event Analysis for Cybersecurity of Cyber-Physical System
par: Park, Kuchan, et autres
Publié: (2023)

Impact Analysis of COVID-19 in Bangladesh Power Sector and Recommendations based on Practical Data and Machine Learning Approach
par: Ahmed, Anis, et autres
Publié: (2025)