Cover Image

Enabling Large Language Models to Perform Power System Simulations with Previously Unseen Tools: A Case of Daline

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jia, Mengshuo, Cui, Zeyu, Hug, Gabriela
Format:	Preprint
Published:	2024
Subjects:	Systems and Control Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing LLMs for Power System Simulations: A Feedback-driven Multi-agent Framework
by: Jia, Mengshuo, et al.
Published: (2024)

Data-driven Power Flow Linearization: Simulation
by: Jia, Mengshuo, et al.
Published: (2024)

Data-driven Power Flow Linearization: Theory
by: Jia, Mengshuo, et al.
Published: (2024)

The Unseen AI Disruptions for Power Grids: LLM-Induced Transients
by: Li, Yuzhuo, et al.
Published: (2024)

Automated Heuristic Design for Unit Commitment Using Large Language Models
by: Lv, Junjin, et al.
Published: (2025)

Generative Modeling and Data Augmentation for Power System Production Simulation
by: Xu, Linna, et al.
Published: (2024)

Applying Large Language Models to Power Systems: Potential Security Threats
by: Ruan, Jiaqi, et al.
Published: (2023)

Exploration of Multi-Element Collaborative Research and Application for Modern Power System Based on Generative Large Models
by: Cheng, Lu, et al.
Published: (2025)

Recursive Dynamic State Estimation for Power Systems with an Incomplete Nonlinear DAE Model
by: Katanic, Milos, et al.
Published: (2023)

Large Language Model-Assisted Planning of Electric Vehicle Charging Infrastructure with Real-World Case Study
by: Zheng, Xinda, et al.
Published: (2025)

BarrierBench: Evaluating Large Language Models for Safety Verification in Dynamical Systems
by: Taheri, Ali, et al.
Published: (2025)

Diffusion Model-based Parameter Estimation in Dynamic Power Systems
by: Zhu, Feiqin, et al.
Published: (2024)

LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins
by: Xia, Yuchen, et al.
Published: (2024)

Agentic AI Home Energy Management System: A Large Language Model Framework for Residential Load Scheduling
by: Makroum, Reda El, et al.
Published: (2025)

Large Language Model Powered Automated Modeling and Optimization of Active Distribution Network Dispatch Problems
by: Yang, Xu, et al.
Published: (2025)

Optimal PMU Placement for Kalman Filtering of DAE Power System Models
by: Katanic, Milos, et al.
Published: (2025)

Online Event-Triggered Switching for Frequency Control in Power Grids with Variable Inertia
by: Feng, Jie, et al.
Published: (2024)

Large Language Models for Explainable Decisions in Dynamic Digital Twins
by: Zhang, Nan, et al.
Published: (2024)

Sketch2Simulation: Automating Flowsheet Generation via Multi Agent Large Language Models
by: Bahamdan, Abdullah, et al.
Published: (2026)

Model-Free Load Frequency Control of Nonlinear Power Systems Based on Deep Reinforcement Learning
by: Chen, Xiaodi, et al.
Published: (2024)

SAFLITE: Fuzzing Autonomous Systems via Large Language Models
by: Zhu, Taohong, et al.
Published: (2024)

Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control
by: Zhang, Yan, et al.
Published: (2025)

Learning-Augmented Power System Operations: A Unified Optimization View
by: Xu, Wangkun, et al.
Published: (2025)

CPS-LLM: Large Language Model based Safe Usage Plan Generator for Human-in-the-Loop Human-in-the-Plant Cyber-Physical System
by: Banerjee, Ayan, et al.
Published: (2024)

X-GridAgent: An LLM-Powered Agentic AI System for Assisting Power Grid Analysis
by: Yihan, et al.
Published: (2025)

LLMs-guided adaptive compensator: Bringing Adaptivity to Automatic Control Systems with Large Language Models
by: Zhou, Zhongchao, et al.
Published: (2025)

Synthesizing Interpretable Control Policies through Large Language Model Guided Search
by: Bosio, Carlo, et al.
Published: (2024)

PowerChain: A Verifiable Agentic AI System for Automating Distribution Grid Analyses
by: Badmus, Emmanuel O., et al.
Published: (2025)

Towards Developing Safety Assurance Cases for Learning-Enabled Medical Cyber-Physical Systems
by: Bagheri, Maryam, et al.
Published: (2022)

Modeling Charging Demand and Quantifying Flexibility Bounds for Large-Scale BEV Fleets
by: Herrera, Maria Parajeles, et al.
Published: (2025)

Physics-Constrained Neural Dynamics: A Unified Manifold Framework for Large-Scale Power Flow Computation
by: Liu, Xuezhi
Published: (2025)

Large Language Model as An Operator: An Experience-Driven Solution for Distribution Network Voltage Control
by: Yang, Xu, et al.
Published: (2025)

Virtual Traffic Police: Large Language Model-Augmented Traffic Signal Control for Unforeseen Incidents
by: Wei, Shiqi, et al.
Published: (2026)

The Use of the Simplex Architecture to Enhance Safety in Deep-Learning-Powered Autonomous Systems
by: Nesti, Federico, et al.
Published: (2025)

PseudoAct: Leveraging Pseudocode Synthesis for Flexible Planning and Action Control in Large Language Model Agents
by: Yihan, et al.
Published: (2026)

Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States
by: Razin, Noam, et al.
Published: (2024)

A Stiffness-Oriented Model Order Reduction Method for Low-Inertia Power Systems
by: Muntwiler, Simon, et al.
Published: (2023)

Approximate Information States for Worst-Case Control and Learning in Uncertain Systems
by: Dave, Aditya, et al.
Published: (2023)

Rebuild AC Power Flow Models with Graph Attention Networks
by: Hu, Yuting, et al.
Published: (2025)

Large Language Model-Based Framework for Explainable Cyberattack Detection in Automatic Generation Control Systems
by: Sharshar, Muhammad, et al.
Published: (2025)