Saved in:
| Main Authors: | Shuai, Hang, Li, Fangxing |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.06650 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
From Black Box to Clarity: AI-Powered Smart Grid Optimization with Kolmogorov-Arnold Networks
by: Wang, Xiaoting, et al.
Published: (2024)
by: Wang, Xiaoting, et al.
Published: (2024)
State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification
by: Cruz, Gonçalo Granjal, et al.
Published: (2025)
by: Cruz, Gonçalo Granjal, et al.
Published: (2025)
Lyapunov-Based Kolmogorov-Arnold Network (KAN) Adaptive Control
by: Shen, Xuehui, et al.
Published: (2025)
by: Shen, Xuehui, et al.
Published: (2025)
PFAgent: A Tractable and Self-Evolving Power-Flow Agent for Interactive Grid Analysis
by: She, Buxin, et al.
Published: (2026)
by: She, Buxin, et al.
Published: (2026)
A Kolmogorov-Arnold Network for Interpretable Cyberattack Detection in AGC Systems
by: Jilan, Jehad, et al.
Published: (2025)
by: Jilan, Jehad, 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)
System Identification Using Kolmogorov-Arnold Networks: A Case Study on Buck Converters
by: Gashi, Nart, et al.
Published: (2025)
by: Gashi, Nart, et al.
Published: (2025)
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)
CIKAN: Constraint Informed Kolmogorov-Arnold Networks for Autonomous Spacecraft Rendezvous using Time Shift Governor
by: Kim, Taehyeun, et al.
Published: (2024)
by: Kim, Taehyeun, et al.
Published: (2024)
Explainable Functional Relation Discovery for Battery State-of-Health Using Kolmogorov-Arnold Network
by: Ghosh, Sanchita, et al.
Published: (2026)
by: Ghosh, Sanchita, et al.
Published: (2026)
KAN-Therm: A Lightweight Battery Thermal Model Using Kolmogorov-Arnold Network
by: Mallick, Soumyoraj, et al.
Published: (2025)
by: Mallick, Soumyoraj, et al.
Published: (2025)
Coordination of Damping Controllers: A Novel Data-Informed Approach for Adaptability
by: Zelaya-Arrazabal, Francisco, et al.
Published: (2023)
by: Zelaya-Arrazabal, Francisco, et al.
Published: (2023)
Symbolic Equation Modeling of Composite Loads: A Kolmogorov-Arnold Network based Learning Approach
by: Dorji, Sonam, et al.
Published: (2025)
by: Dorji, Sonam, et al.
Published: (2025)
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)
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)
Ultrafast On-chip Online Learning via Spline Locality in Kolmogorov-Arnold Networks
by: Hoang, Duc, et al.
Published: (2026)
by: Hoang, Duc, et al.
Published: (2026)
KANELÉ: Kolmogorov-Arnold Networks for Efficient LUT-based Evaluation
by: Hoang, Duc, et al.
Published: (2025)
by: Hoang, Duc, et al.
Published: (2025)
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)
On Physics-Informed Neural Network Control for Power Electronics
by: Hui, Peifeng, et al.
Published: (2024)
by: Hui, Peifeng, et al.
Published: (2024)
Optimizing the Optimizer for Physics-Informed Neural Networks and Kolmogorov-Arnold Networks
by: Kiyani, Elham, et al.
Published: (2025)
by: Kiyani, Elham, et al.
Published: (2025)
Physics-Informed Neural Networks for Accelerating Power System State Estimation
by: Falas, Solon, et al.
Published: (2023)
by: Falas, Solon, et al.
Published: (2023)
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)
PE-GPT: A Physics-Informed Interactive Large Language Model for Power Converter Modulation Design
by: Lin, Fanfan, et al.
Published: (2024)
by: Lin, Fanfan, et al.
Published: (2024)
Robust Power System State Estimation using Physics-Informed Neural Networks
by: Falas, Solon, et al.
Published: (2025)
by: Falas, Solon, et al.
Published: (2025)
Verification and Validation of Physics-Informed Surrogate Component Models for Dynamic Power-System Simulation
by: Ellinas, Petros, et al.
Published: (2026)
by: Ellinas, Petros, et al.
Published: (2026)
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)
Enhancing Power Prediction of Photovoltaic Systems: Leveraging Dynamic Physical Model for Irradiance-to-Power Conversion
by: Li, Baojie, et al.
Published: (2024)
by: Li, Baojie, et al.
Published: (2024)
AC-Network-Informed DC Optimal Power Flow for Electricity Markets
by: Constante-Flores, Gonzalo E., et al.
Published: (2024)
by: Constante-Flores, Gonzalo E., et al.
Published: (2024)
KANDy: Kolmogorov-Arnold Networks and Dynamical System Discovery
by: Slote, Kevin, et al.
Published: (2026)
by: Slote, Kevin, et al.
Published: (2026)
Resilience-Oriented DG Siting and Sizing Considering Energy Equity Constraint
by: Li, Chenchen, et al.
Published: (2024)
by: Li, Chenchen, 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)
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)
Aggregate Model of District Heating Network for Integrated Energy Dispatch: A Physically Informed Data-Driven Approach
by: Lu, Shuai, et al.
Published: (2023)
by: Lu, Shuai, et al.
Published: (2023)
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)
System-wide Dynamic Performance Metric for IBR-based Power Networks
by: Bernal, Rodrigo, et al.
Published: (2026)
by: Bernal, Rodrigo, et al.
Published: (2026)
Physics-Informed Neural Network Modeling of Vehicle Collision Dynamics in Precision Immobilization Technique Maneuvers
by: Jiang, Yangye, et al.
Published: (2025)
by: Jiang, Yangye, 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)
Bayesian Physics-informed Neural Networks for System Identification of Inverter-dominated Power Systems
by: Stock, Simon, et al.
Published: (2024)
by: Stock, Simon, et al.
Published: (2024)
Learning the Frequency Dynamics of the Power System Using Higher-order Dynamic Mode Decomposition
by: Li, Xiao, et al.
Published: (2025)
by: Li, Xiao, et al.
Published: (2025)
Similar Items
-
From Black Box to Clarity: AI-Powered Smart Grid Optimization with Kolmogorov-Arnold Networks
by: Wang, Xiaoting, et al.
Published: (2024) -
State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification
by: Cruz, Gonçalo Granjal, et al.
Published: (2025) -
Lyapunov-Based Kolmogorov-Arnold Network (KAN) Adaptive Control
by: Shen, Xuehui, et al.
Published: (2025) -
PFAgent: A Tractable and Self-Evolving Power-Flow Agent for Interactive Grid Analysis
by: She, Buxin, et al.
Published: (2026) -
A Kolmogorov-Arnold Network for Interpretable Cyberattack Detection in AGC Systems
by: Jilan, Jehad, et al.
Published: (2025)