PE-GPT: A Physics-Informed Interactive Large Language Model for Power Converter Modulation Design
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Fanfan, Liu, Junhua, Li, Xinze, Zhao, Shuai, Zhao, Bohui, Ma, Hao, Zhang, Xin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Physics-Informed Autonomous LLM Agents for Explainable Power Electronics Modulation Design
by: Liu, Junhua, et al.
Published: (2024)
by: Liu, Junhua, et al.
Published: (2024)
Towards Ethical AI in Power Electronics: How Engineering Practice and Roles Must Adapt
by: Lin, Fanfan, et al.
Published: (2025)
by: Lin, Fanfan, et al.
Published: (2025)
PE-TSFM: Self-Supervised Time-Series Learning for Generalizable Power Converter Health Monitoring under Unseen Conditions
by: Liao, Xinyuan, et al.
Published: (2025)
by: Liao, Xinyuan, et al.
Published: (2025)
GAIA -- A Large Language Model for Advanced Power Dispatch
by: Cheng, Yuheng, et al.
Published: (2024)
by: Cheng, Yuheng, et al.
Published: (2024)
AI Explainability for Power Electronics: From a Lipschitz Continuity Perspective
by: Li, Xinze, et al.
Published: (2025)
by: Li, Xinze, et al.
Published: (2025)
Characterizing the Role of Complex Power in Small-Signal Synchronization Stability of Multi-Converter Power Systems
by: Ma, Fuyilong, et al.
Published: (2023)
by: Ma, Fuyilong, et al.
Published: (2023)
Physics-Informed Kolmogorov-Arnold Networks for Power System Dynamics
by: Shuai, Hang, et al.
Published: (2024)
by: Shuai, Hang, et al.
Published: (2024)
Direct Adaptive Control of Grid-Connected Power Converters via Output-Feedback Data-Enabled Policy Optimization
by: Zhao, Feiran, et al.
Published: (2024)
by: Zhao, Feiran, et al.
Published: (2024)
Bounding the Minimal Current Harmonic Distortion in Optimal Modulation of Single-Phase Power Converters
by: Miller, Jared, et al.
Published: (2025)
by: Miller, Jared, et al.
Published: (2025)
Coordinated Power Smoothing Control for Wind Storage Integrated System with Physics-informed Deep Reinforcement Learning
by: Wang, Shuyi, et al.
Published: (2024)
by: Wang, Shuyi, et al.
Published: (2024)
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)
Power System Fault Diagnosis with Quantum Computing and Efficient Gate Decomposition
by: Fei, Xiang, et al.
Published: (2024)
by: Fei, Xiang, et al.
Published: (2024)
Battery-Assisted Operation of Hyperscale AI Data Centers under Connect-and-Manage Interconnection Practices
by: Lu, Xin, et al.
Published: (2026)
by: Lu, Xin, et al.
Published: (2026)
Data-Driven Control Of Power Converters
by: Soliman, Marwan, et al.
Published: (2025)
by: Soliman, Marwan, et al.
Published: (2025)
Optimal Parameter Design for Power Electronic Converters Using a Probabilistic Learning-Based Stochastic Surrogate Model
by: Mahajan, Akash, et al.
Published: (2025)
by: Mahajan, Akash, et al.
Published: (2025)
Some contributions to Lagrangian modelling of Power Converters
by: Sofi, Shakir Showkat, et al.
Published: (2024)
by: Sofi, Shakir Showkat, et al.
Published: (2024)
Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management
by: Lin, Yuyan, et al.
Published: (2025)
by: Lin, Yuyan, et al.
Published: (2025)
On Physics-Informed Neural Network Control for Power Electronics
by: Hui, Peifeng, et al.
Published: (2024)
by: Hui, Peifeng, et al.
Published: (2024)
Physics-Informed Neural Networks for Nonlocal Flow Modeling of Connected Automated Vehicles
by: Zhao, Chenguang, et al.
Published: (2025)
by: Zhao, Chenguang, et al.
Published: (2025)
A Data-Driven Optimal Control Architecture for Grid-Connected Power Converters
by: Leng, Ruohan, et al.
Published: (2025)
by: Leng, Ruohan, et al.
Published: (2025)
Dynamic Modeling of Data-Center Power Delivery for Power System Resonance Analysis
by: Zhao, Xingyu, et al.
Published: (2026)
by: Zhao, Xingyu, et al.
Published: (2026)
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)
Power Oscillation Damping Controllers for Grid-Forming Power Converters in Modern PowerSystems
by: Mateu-Barriendos, Elia, et al.
Published: (2024)
by: Mateu-Barriendos, Elia, et al.
Published: (2024)
Reduced-Order Model of Power Converters to Optimize Power Hardware-In-the-Loop Technology in Dc-Distributed Systems
by: Sanz, Marina, et al.
Published: (2024)
by: Sanz, Marina, et al.
Published: (2024)
Evaluation of Large Language Models for Numeric Anomaly Detection in Power Systems
by: Liu, Yichen, et al.
Published: (2025)
by: Liu, Yichen, et al.
Published: (2025)
Large Language Model-aided Edge Learning in Distribution System State Estimation
by: Xie, Renyou, et al.
Published: (2024)
by: Xie, Renyou, et al.
Published: (2024)
Complex-Frequency Synchronization of Converter-Based Power Systems
by: He, Xiuqiang, et al.
Published: (2022)
by: He, Xiuqiang, et al.
Published: (2022)
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)
Transient Stability of GFL Converters Subjected to Switching of Droop-Controlled GFM Converters
by: Li, Bingfang, et al.
Published: (2026)
by: Li, Bingfang, et al.
Published: (2026)
Applying Large Language Models to Power Systems: Potential Security Threats
by: Ruan, Jiaqi, et al.
Published: (2023)
by: Ruan, Jiaqi, et al.
Published: (2023)
Saturation-Informed Current-Limiting Control for Grid-Forming Converters
by: Desai, Maitraya Avadhut, et al.
Published: (2024)
by: Desai, Maitraya Avadhut, et al.
Published: (2024)
Reconfigurable Power Converters with Increased Utilization for Unbalanced Power Distribution System Applications
by: Deakin, Matthew, et al.
Published: (2024)
by: Deakin, Matthew, 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)
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)
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)
Improved Decoupled Control of Modular Multilevel Converter under Constaint of Nearest Level Modulation via Disturbance Observer Design
by: Park, Jaeyeon, et al.
Published: (2025)
by: Park, Jaeyeon, et al.
Published: (2025)
Small-Signal Stability Manifolds in Converter-Dominated Power Systems
by: Conte, Francesco, et al.
Published: (2026)
by: Conte, Francesco, et al.
Published: (2026)
How Many Grid-Forming Converters Do We Need? A Perspective From Small Signal Stability and Power Grid Strength
by: Xin, Huanhai, et al.
Published: (2022)
by: Xin, Huanhai, et al.
Published: (2022)
A Data-Aided Power Transformer Differential Protection without Inrush Blocking Module
by: Lin, Zexuan, et al.
Published: (2026)
by: Lin, Zexuan, et al.
Published: (2026)
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)
Similar Items
-
Physics-Informed Autonomous LLM Agents for Explainable Power Electronics Modulation Design
by: Liu, Junhua, et al.
Published: (2024) -
Towards Ethical AI in Power Electronics: How Engineering Practice and Roles Must Adapt
by: Lin, Fanfan, et al.
Published: (2025) -
PE-TSFM: Self-Supervised Time-Series Learning for Generalizable Power Converter Health Monitoring under Unseen Conditions
by: Liao, Xinyuan, et al.
Published: (2025) -
GAIA -- A Large Language Model for Advanced Power Dispatch
by: Cheng, Yuheng, et al.
Published: (2024) -
AI Explainability for Power Electronics: From a Lipschitz Continuity Perspective
by: Li, Xinze, et al.
Published: (2025)