Fine-Tuning LLMs to Generate Economical and Reliable Actions for the Power Grid
Fuente:
arXiv
Saved in:
| Main Authors: | Chehade, Mohamad, Zhu, Hao |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
NEO-Grid: A Neural Approximation Framework for Optimization and Control in Distribution Grids
by: Chehade, Mohamad, et al.
Published: (2025)
by: Chehade, Mohamad, et al.
Published: (2025)
Agentic Application in Power Grid Static Analysis: Automatic Code Generation and Error Correction
by: Wang, Qinjuan, et al.
Published: (2026)
by: Wang, Qinjuan, et al.
Published: (2026)
Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control
by: Zhang, Yan, et al.
Published: (2025)
by: Zhang, Yan, et al.
Published: (2025)
X-GridAgent: An LLM-Powered Agentic AI System for Assisting Power Grid Analysis
by: Yihan, et al.
Published: (2025)
by: Yihan, et al.
Published: (2025)
Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation
by: Meng, Bo, et al.
Published: (2025)
by: Meng, Bo, et al.
Published: (2025)
Imitation Learning for Intra-Day Power Grid Operation through Topology Actions
by: de Jong, Matthijs, et al.
Published: (2024)
by: de Jong, Matthijs, et al.
Published: (2024)
Fine-Tuning and Prompt Engineering of LLMs, for the Creation of Multi-Agent AI for Addressing Sustainable Protein Production Challenges
by: Kalian, Alexander D., et al.
Published: (2025)
by: Kalian, Alexander D., et al.
Published: (2025)
Online Event-Triggered Switching for Frequency Control in Power Grids with Variable Inertia
by: Feng, Jie, et al.
Published: (2024)
by: Feng, Jie, et al.
Published: (2024)
Grid-Orch: An LLM-Powered Orchestrator for Distribution Grid Simulation and Analytics
by: Liu, Boming, et al.
Published: (2026)
by: Liu, Boming, et al.
Published: (2026)
Optimal Power Grid Operations with Foundation Models
by: Puech, Alban, et al.
Published: (2024)
by: Puech, Alban, et al.
Published: (2024)
PowerChain: A Verifiable Agentic AI System for Automating Distribution Grid Analyses
by: Badmus, Emmanuel O., et al.
Published: (2025)
by: Badmus, Emmanuel O., et al.
Published: (2025)
BOOST: Microgrid Sizing using Ordinal Optimization
by: Chehade, Mohamad, et al.
Published: (2025)
by: Chehade, Mohamad, et al.
Published: (2025)
PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis
by: He, Xinyu, et al.
Published: (2025)
by: He, Xinyu, et al.
Published: (2025)
A Multi-Scale Attention-Based Attack Diagnosis Mechanism for Parallel Cyber-Physical Attacks in Power Grids
by: Ren, Junhao, et al.
Published: (2025)
by: Ren, Junhao, et al.
Published: (2025)
On-Meter Graph Machine Learning: A Case Study of PV Power Forecasting for Grid Edge Intelligence
by: Huang, Jian, et al.
Published: (2026)
by: Huang, Jian, et al.
Published: (2026)
A Generative AI-Driven Reliability Layer for Action-Oriented Disaster Resilience
by: Lim, Geunsik
Published: (2026)
by: Lim, Geunsik
Published: (2026)
Synergies between Federated Foundation Models and Smart Power Grids
by: Hosseinalipour, Seyyedali, et al.
Published: (2025)
by: Hosseinalipour, Seyyedali, et al.
Published: (2025)
Multi-Objective Reinforcement Learning for Power Grid Topology Control
by: Lautenbacher, Thomas, et al.
Published: (2025)
by: Lautenbacher, Thomas, et al.
Published: (2025)
Safe Control and Learning Using Generalized Action Governor
by: Fang, Peiyuan, et al.
Published: (2022)
by: Fang, Peiyuan, et al.
Published: (2022)
Physics-Informed State Space Models for Reliable Solar Irradiance Forecasting in Off-Grid Systems
by: Abdullah, Mohammed Ezzaldin Babiker
Published: (2026)
by: Abdullah, Mohammed Ezzaldin Babiker
Published: (2026)
From Failure Modes to Reliability Awareness in Generative and Agentic AI System
by: Janet, et al.
Published: (2025)
by: Janet, et al.
Published: (2025)
Cyber-Resilient System Identification for Power Grid through Bayesian Integration
by: Li, Shimiao, et al.
Published: (2025)
by: Li, Shimiao, et al.
Published: (2025)
Leveraging the Potential of Novel Data in Power Line Communication of Electricity Grids
by: Balada, Christoph, et al.
Published: (2022)
by: Balada, Christoph, et al.
Published: (2022)
Fine-Tuning Hybrid Physics-Informed Neural Networks for Vehicle Dynamics Model Estimation
by: Fang, Shiming, et al.
Published: (2024)
by: Fang, Shiming, et al.
Published: (2024)
Optimizing Power Grid Topologies with Reinforcement Learning: A Survey of Methods and Challenges
by: van der Sar, Erica, et al.
Published: (2025)
by: van der Sar, Erica, et al.
Published: (2025)
AI-Enabled Data-driven Intelligence for Spectrum Demand Estimation
by: Brown, Colin, et al.
Published: (2026)
by: Brown, Colin, et al.
Published: (2026)
Generative Modeling and Data Augmentation for Power System Production Simulation
by: Xu, Linna, et al.
Published: (2024)
by: Xu, Linna, et al.
Published: (2024)
Towards Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control
by: Manyari, Yassine El, et al.
Published: (2025)
by: Manyari, Yassine El, et al.
Published: (2025)
The Unseen AI Disruptions for Power Grids: LLM-Induced Transients
by: Li, Yuzhuo, et al.
Published: (2024)
by: Li, Yuzhuo, et al.
Published: (2024)
Online Location Planning for AI-Defined Vehicles: Optimizing Joint Tasks of Order Serving and Spatio-Temporal Heterogeneous Model Fine-Tuning
by: Zheng, Bokeng, et al.
Published: (2025)
by: Zheng, Bokeng, et al.
Published: (2025)
A Context-Free Smart Grid Model Using Complex System Approach
by: Amor, Soufian Ben, et al.
Published: (2025)
by: Amor, Soufian Ben, et al.
Published: (2025)
Safe Decentralized Operation of EV Virtual Power Plant with Limited Network Visibility via Multi-Agent Reinforcement Learning
by: Huang, Chenghao, et al.
Published: (2026)
by: Huang, Chenghao, et al.
Published: (2026)
Diffusion Model-based Parameter Estimation in Dynamic Power Systems
by: Zhu, Feiqin, et al.
Published: (2024)
by: Zhu, Feiqin, et al.
Published: (2024)
Graph Embedding Dynamic Feature-based Supervised Contrastive Learning of Transient Stability for Changing Power Grid Topologies
by: Lv, Zijian, et al.
Published: (2023)
by: Lv, Zijian, et al.
Published: (2023)
Autonomous Control Leveraging LLMs: An Agentic Framework for Next-Generation Industrial Automation
by: Vyas, Javal, et al.
Published: (2025)
by: Vyas, Javal, et al.
Published: (2025)
Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems
by: Mishra, Saurabh, et al.
Published: (2024)
by: Mishra, Saurabh, et al.
Published: (2024)
Perspectives on a Reliability Monitoring Framework for Agentic AI Systems
by: Flehmig, Niclas, et al.
Published: (2025)
by: Flehmig, Niclas, et al.
Published: (2025)
Benchmarking Reasoning Reliability in Artificial Intelligence Models for Energy-System Analysis
by: Curcio, Eliseo
Published: (2025)
by: Curcio, Eliseo
Published: (2025)
Exploration of Multi-Element Collaborative Research and Application for Modern Power System Based on Generative Large Models
by: Cheng, Lu, et al.
Published: (2025)
by: Cheng, Lu, et al.
Published: (2025)
Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids
by: Abukhousa, Emad, et al.
Published: (2026)
by: Abukhousa, Emad, et al.
Published: (2026)
Similar Items
-
NEO-Grid: A Neural Approximation Framework for Optimization and Control in Distribution Grids
by: Chehade, Mohamad, et al.
Published: (2025) -
Agentic Application in Power Grid Static Analysis: Automatic Code Generation and Error Correction
by: Wang, Qinjuan, et al.
Published: (2026) -
Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control
by: Zhang, Yan, et al.
Published: (2025) -
X-GridAgent: An LLM-Powered Agentic AI System for Assisting Power Grid Analysis
by: Yihan, et al.
Published: (2025) -
Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation
by: Meng, Bo, et al.
Published: (2025)