Saved in:
| Main Authors: | Hui, Peifeng, Cui, Chenggang, Lin, Pengfeng, Ghias, Amer M. Y. M., Niu, Xitong, Zhang, Chuanlin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.15787 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Large Language Models based Multi-Agent Framework for Objective Oriented Control Design in Power Electronics
by: Cui, Chenggang, et al.
Published: (2024)
by: Cui, Chenggang, et al.
Published: (2024)
GenControl: Generative AI-Driven Autonomous Design of Control Algorithms
by: Cui, Chenggang, et al.
Published: (2025)
by: Cui, Chenggang, et al.
Published: (2025)
Model-Free DRL Control for Power Inverters: From Policy Learning to Real-Time Implementation via Knowledge Distillation
by: Yang, Yang, et al.
Published: (2026)
by: Yang, Yang, et al.
Published: (2026)
Full-Time-Scale Power Management Strategy for Hybrid AC/DC/DS Microgrid with Dynamic Concatenation and Autonomous Frequency / Voltage Restorations
by: Meng, Qingzuo, et al.
Published: (2026)
by: Meng, Qingzuo, et al.
Published: (2026)
Collaborative Optimization of Battery Charging / Swapping Stations for eVTOLs Based on Closed-Loop Supply Chain and Space-Time Network
by: Lin, Pengfeng, et al.
Published: (2026)
by: Lin, Pengfeng, et al.
Published: (2026)
Research on a Two-Layer Demand Response Framework for Electric Vehicle Users and Aggregators Based on LLMs
by: Zhang, Zhaoyi, et al.
Published: (2025)
by: Zhang, Zhaoyi, et al.
Published: (2025)
Dynamic Incentive Strategies for Smart EV Charging Stations: An LLM-Driven User Digital Twin Approach
by: Sun, Yichen, et al.
Published: (2025)
by: Sun, Yichen, et al.
Published: (2025)
Transient Power Allocation Control Scheme for Hybrid Hydrogen Electrolyzer-Supercapacitor System with Autonomous Inertia Response
by: Lin, Pengfeng, et al.
Published: (2026)
by: Lin, Pengfeng, et al.
Published: (2026)
Electric Vehicle User Charging Behavior Analysis Integrating Psychological and Environmental Factors: A Statistical-Driven LLM based Agent Approach
by: Zhang, Chuanlin, et al.
Published: (2024)
by: Zhang, Chuanlin, et al.
Published: (2024)
Coordinated Optimal Power Quality Management in Distribution Systems Using The Residual Capacity of Community IBRs
by: Ji, Tiantian, et al.
Published: (2026)
by: Ji, Tiantian, et al.
Published: (2026)
Toolbox for Developing Physics Informed Neural Networks for Power Systems Components
by: Karampinis, Ioannis, et al.
Published: (2025)
by: Karampinis, Ioannis, et al.
Published: (2025)
Modeling Power Systems Dynamics with Symbolic Physics-Informed Neural Networks
by: Tran, Huynh T. T., et al.
Published: (2023)
by: Tran, Huynh T. T., et al.
Published: (2023)
Physics-Informed Graph Neural Network for Dynamic Reconfiguration of Power Systems
by: Authier, Jules, et al.
Published: (2023)
by: Authier, Jules, et al.
Published: (2023)
Improved Physics-Informed Neural Network based AC Power Flow for Distribution Networks
by: Eeckhout, Victor, et al.
Published: (2024)
by: Eeckhout, Victor, et al.
Published: (2024)
Physics-Informed Neural Networks in Power System Dynamics: Improving Simulation Accuracy
by: Nadal, Ignasi Ventura, et al.
Published: (2025)
by: Nadal, Ignasi Ventura, et al.
Published: (2025)
Neural Network Certification Informed Power System Transient Stability Preventive Control with Renewable Energy
by: Su, Tong, et al.
Published: (2024)
by: Su, Tong, et al.
Published: (2024)
Physics-Informed Neural Networks for Accelerating Power System State Estimation
by: Falas, Solon, et al.
Published: (2023)
by: Falas, Solon, et al.
Published: (2023)
Physics-Informed Neural Networks: a Plug and Play Integration into Power System Dynamic Simulations
by: Nadal, Ignasi Ventura, et al.
Published: (2024)
by: Nadal, Ignasi Ventura, et al.
Published: (2024)
Optimal Sensor Placement in Power Transformers Using Physics-Informed Neural Networks
by: Li, Sirui, et al.
Published: (2025)
by: Li, Sirui, et al.
Published: (2025)
Robust Power System State Estimation using Physics-Informed Neural Networks
by: Falas, Solon, et al.
Published: (2025)
by: Falas, Solon, et al.
Published: (2025)
Neural Control Barrier Functions from Physics Informed Neural Networks
by: Agrawal, Shreenabh, et al.
Published: (2025)
by: Agrawal, Shreenabh, et al.
Published: (2025)
A Power Electronic Converter Control Framework Based on Graph Neural Networks -- An Early Proof-of-Concept
by: Jakobeit, Darius, et al.
Published: (2026)
by: Jakobeit, Darius, et al.
Published: (2026)
PINNSim: A Simulator for Power System Dynamics based on Physics-Informed Neural Networks
by: Stiasny, Jochen, et al.
Published: (2023)
by: Stiasny, Jochen, et al.
Published: (2023)
Physics-Informed Neural Networks for MIMO Beam Map and Environment Reconstruction
by: Chen, Wangqian, et al.
Published: (2025)
by: Chen, Wangqian, et al.
Published: (2025)
Physics-Informed Kolmogorov-Arnold Networks for Power System Dynamics
by: Shuai, Hang, et al.
Published: (2024)
by: Shuai, Hang, et al.
Published: (2024)
Neural Operators for Power Systems: A Physics-Informed Framework for Modeling Power System Components
by: Karampinis, Ioannis, et al.
Published: (2025)
by: Karampinis, Ioannis, et al.
Published: (2025)
Automated Heuristic Design for Unit Commitment Using Large Language Models
by: Lv, Junjin, et al.
Published: (2025)
by: Lv, Junjin, et al.
Published: (2025)
Physics-Informed Neural Network for Cross-Domain Predictive Control of Tapered Amplifier Thermal Stabilization
by: Shi, Yanpei, et al.
Published: (2025)
by: Shi, Yanpei, et al.
Published: (2025)
Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification
by: Meng, Yiming, et al.
Published: (2024)
by: Meng, Yiming, et al.
Published: (2024)
Extremum Seeking for PDE Systems using Physics-Informed Neural Networks
by: Guo, Haojin, et al.
Published: (2025)
by: Guo, Haojin, et al.
Published: (2025)
Data-Driven Adaptive PID Control Based on Physics-Informed Neural Networks
by: Ito, Junsei, et al.
Published: (2025)
by: Ito, Junsei, et al.
Published: (2025)
Formally Verified Physics-Informed Neural Control Lyapunov Functions
by: Liu, Jun, et al.
Published: (2024)
by: Liu, Jun, et al.
Published: (2024)
Physics-Informed Neural Network-Based Control for Grid-Forming Converter's Stability Under Overload Conditions
by: Kumar, Abhay, et al.
Published: (2025)
by: Kumar, Abhay, et al.
Published: (2025)
Addressing Relative Degree Issues in Control Barrier Function Synthesis with Physics-Informed Neural Networks
by: Brunke, Lukas, et al.
Published: (2025)
by: Brunke, Lukas, et al.
Published: (2025)
Physics-informed Graphical Neural Network for Power System State Estimation
by: Ngo, Quang-Ha, et al.
Published: (2023)
by: Ngo, Quang-Ha, et al.
Published: (2023)
Physics-Informed Graph Neural Jump ODEs for Cascading Failure Prediction in Power Grids
by: Sevak, Birva, et al.
Published: (2026)
by: Sevak, Birva, et al.
Published: (2026)
Graph Neural Networks for Fast Contingency Analysis of Power Systems
by: Nakiganda, Agnes M., et al.
Published: (2023)
by: Nakiganda, Agnes M., et al.
Published: (2023)
A Comparison of Strategies to Embed Physics-Informed Neural Networks in Nonlinear Model Predictive Control Formulations Solved via Direct Transcription
by: Casas, Carlos Andrés Elorza, et al.
Published: (2025)
by: Casas, Carlos Andrés Elorza, et al.
Published: (2025)
A Fully Self-Synchronized Control for Hybrid Series-Parallel Electronized Power Networks
by: Wei, Zexiong, et al.
Published: (2025)
by: Wei, Zexiong, et al.
Published: (2025)
DT-MPC: Synthesizing Derivation-Free Model Predictive Control from Power Converter Netlists via Physics-Informed Neural Digital Twins
by: Zheng, Jialin, et al.
Published: (2025)
by: Zheng, Jialin, et al.
Published: (2025)
Similar Items
-
Large Language Models based Multi-Agent Framework for Objective Oriented Control Design in Power Electronics
by: Cui, Chenggang, et al.
Published: (2024) -
GenControl: Generative AI-Driven Autonomous Design of Control Algorithms
by: Cui, Chenggang, et al.
Published: (2025) -
Model-Free DRL Control for Power Inverters: From Policy Learning to Real-Time Implementation via Knowledge Distillation
by: Yang, Yang, et al.
Published: (2026) -
Full-Time-Scale Power Management Strategy for Hybrid AC/DC/DS Microgrid with Dynamic Concatenation and Autonomous Frequency / Voltage Restorations
by: Meng, Qingzuo, et al.
Published: (2026) -
Collaborative Optimization of Battery Charging / Swapping Stations for eVTOLs Based on Closed-Loop Supply Chain and Space-Time Network
by: Lin, Pengfeng, et al.
Published: (2026)