Imagen de Portada

Large Language Model Powered Automated Modeling and Optimization of Active Distribution Network Dispatch Problems

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yang, Xu, Lin, Chenhui, Yang, Yue, Wang, Qi, Liu, Haotian, Hua, Haizhou, Wu, Wenchuan
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence Machine Learning Systems and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

RL2: Reinforce Large Language Model to Assist Safe Reinforcement Learning for Energy Management of Active Distribution Networks
por: Yang, Xu, et al.
Publicado: (2024)

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

One Request, Multiple Experts: LLM Orchestrates Domain Specific Models via Adaptive Task Routing
por: Yang, Xu, et al.
Publicado: (2025)

Two-Stage Active Distribution Network Voltage Control via LLM-RL Collaboration: A Hybrid Knowledge-Data-Driven Approach
por: Yang, Xu, et al.
Publicado: (2026)

Physics-Informed Recurrent Network for State-Space Modeling of Gas Pipeline Networks
por: Wang, Siyuan, et al.
Publicado: (2025)

GAIA -- A Large Language Model for Advanced Power Dispatch
por: Cheng, Yuheng, et al.
Publicado: (2024)

Large Language Models for Solving Economic Dispatch Problem
por: Mohammadi, Sina, et al.
Publicado: (2025)

Learning to Optimize Joint Chance-constrained Power Dispatch Problems
por: Li, Meiyi, et al.
Publicado: (2025)

Coordinated Dispatch of Energy Storage Systems in the Active Distribution Network: A Complementary Reinforcement Learning and Optimization Approach
por: Zhang, Bohan, et al.
Publicado: (2024)

Experimental Validation of Distributed Dispatching of Multiple Active Distribution Networks Using the ADMM
por: Jacobs, Matthieu, et al.
Publicado: (2025)

Hierarchical Optimal Dispatch of Active Distribution Networks Considering Flexibility Auxiliary Service of Multi-community Integrated Energy Systems
por: Wang, Chunling, et al.
Publicado: (2024)

Distribution Locational Marginal Emission for Carbon Alleviation in Distribution Networks: Formulation, Calculation, and Implication
por: Sang, Linwei, et al.
Publicado: (2024)

A Distributionally Robust Optimization Framework for Stochastic Assessment of Power System Flexibility in Economic Dispatch
por: Zhao, Xinyi, et al.
Publicado: (2024)

Fully Distributed Adaptive Consensus Approach for Economic Dispatch Problem
por: Pal, Arnab, et al.
Publicado: (2026)

Multiple Joint Chance Constraints Approximation for Uncertainty Modeling in Dispatch Problems
por: Wen, Yilin, et al.
Publicado: (2024)

Online Convex Optimization for Coordinated Long-Term and Short-Term Isolated Microgrid Dispatch
por: Qi, Ning, et al.
Publicado: (2025)

Speeding Ticket: Unveiling the Energy and Emission Burden of AI-Accelerated Distributed and Decentralized Power Dispatch Models
por: Li, Meiyi, et al.
Publicado: (2024)

Data-Driven Evolutionary Game-Based Model Predictive Control for Hybrid Renewable Energy Dispatch in Autonomous Ships
por: Liu, Yaoze, et al.
Publicado: (2025)

Neural Risk Limiting Dispatch in Power Networks: Formulation and Generalization Guarantees
por: Chen, Ge, et al.
Publicado: (2024)

Chance Constrained Economic Dispatch Considering the Capability of Network Flexibility Against Renewable Uncertainties
por: Song, Yue, et al.
Publicado: (2021)

Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control
por: Zhou, Hao, et al.
Publicado: (2024)

High Performance Distributed Control for Large-Scale Linear Systems: A Cover-Based Distributed Observer Approach
por: Xu, Haotian, et al.
Publicado: (2024)

Reinforcement Learning Optimizes Power Dispatch in Decentralized Power Grid
por: Lee, Yongsun, et al.
Publicado: (2024)

Evaluation of Large Language Models for Numeric Anomaly Detection in Power Systems
por: Liu, Yichen, et al.
Publicado: (2025)

Input Convex Neural Network-Assisted Optimal Power Flow in Distribution Networks: Modeling, Algorithm Design, and Applications
por: Cheng, Rui, et al.
Publicado: (2024)

Balancing Passenger Transport and Power Distribution: A Distributed Dispatch Policy for Shared Autonomous Electric Vehicles
por: Robbennolt, Jake, et al.
Publicado: (2024)

Noise-Aware Bayesian Optimization Approach for Capacity Planning of the Distributed Energy Resources in an Active Distribution Network
por: Yang, Ruizhe, et al.
Publicado: (2024)

On the Existence of Lagrange Multipliers in Distribution Network Reconfiguration Problems
por: Liu, Rong-Peng, et al.
Publicado: (2025)

ALADIN-$β$: A Distributed Optimization Algorithm for Solving MPCC Problems
por: Wang, Yifei, et al.
Publicado: (2025)

Approximating Dispatchable Regions in Three-Phase Radial Networks with Conditions for Exact SDP Relaxation
por: Fang, Bohang, et al.
Publicado: (2025)

Frequency-Reactive Power Optimization Strategy of Grid-forming Offshore Wind Farm Using DRU-HVDC Transmission
por: Li, Zhekai, et al.
Publicado: (2024)

Behavioral Generative Agents for Power Dispatch and Auction
por: Li, Shaoze, et al.
Publicado: (2026)

Economic Dispatch and Power Flow Analysis for Microgrids
por: Putri, Saskia A., et al.
Publicado: (2024)

Power Converter DC Link Ripple and Network Unbalance as Active Constraints in Distribution System Optimal Power Flow
por: Deakin, Matthew, et al.
Publicado: (2025)

Two-Stage Stochastic Optimization for Low-Carbon Dispatch in a Combined Energy System
por: Hu, Manling, et al.
Publicado: (2024)

Data-Driven Contextual-Aware Uncertainty Set for Robust Dispatch of Power Systems
por: Ruan, Zhaojun, et al.
Publicado: (2026)

Real-Time Neural Distributed Energy Resources Dispatch with Feasibility Guarantees
por: Zhu, Jie, et al.
Publicado: (2026)

Distribution Network Restoration with Mobile Resources Dispatch: A Simulation-Based Online Dynamic Programming Approach
por: Li, Mingxuan, et al.
Publicado: (2025)

Grid-aware Scheduling and Control of Electric Vehicle Charging Stations for Dispatching Active Distribution Networks. Part-II: Intra-day and Experimental Validation
por: Gupta, Rahul K., et al.
Publicado: (2024)

Grid-aware Scheduling and Control of Electric Vehicle Charging Stations for Dispatching Active Distribution Networks. Part-I: Day-ahead and Numerical Validation
por: Gupta, Rahul K., et al.
Publicado: (2024)