Speeding Ticket: Unveiling the Energy and Emission Burden of AI-Accelerated Distributed and Decentralized Power Dispatch Models
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Meiyi, Mohammadi, Javad |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning to Optimize Joint Chance-constrained Power Dispatch Problems
by: Li, Meiyi, et al.
Published: (2025)
by: Li, Meiyi, et al.
Published: (2025)
Balancing Passenger Transport and Power Distribution: A Distributed Dispatch Policy for Shared Autonomous Electric Vehicles
by: Robbennolt, Jake, et al.
Published: (2024)
by: Robbennolt, Jake, et al.
Published: (2024)
Machine Learning Infused Distributed Optimization for Coordinating Virtual Power Plant Assets
by: Li, Meiyi, et al.
Published: (2023)
by: Li, Meiyi, et al.
Published: (2023)
Towards Reliable Neural Optimizers: A Permutation Equivariant Neural Approximation for Information Processing Applications
by: Li, Meiyi, et al.
Published: (2024)
by: Li, Meiyi, et al.
Published: (2024)
Towards Reliable Neural Optimizers: Permutation-Equivariant Neural Approximation in Dynamic Data Driven Applications Systems
by: Li, Meiyi, et al.
Published: (2025)
by: Li, Meiyi, et al.
Published: (2025)
Economic Dispatch and Power Flow Analysis for Microgrids
by: Putri, Saskia A., et al.
Published: (2024)
by: Putri, Saskia A., et al.
Published: (2024)
Reinforcement Learning Optimizes Power Dispatch in Decentralized Power Grid
by: Lee, Yongsun, et al.
Published: (2024)
by: Lee, Yongsun, et al.
Published: (2024)
Data-Driven Two-Stage Distributionally Robust Dispatch of Multi-Energy Microgrid
by: Sun, Xunhang, et al.
Published: (2025)
by: Sun, Xunhang, et al.
Published: (2025)
Large Language Models for Solving Economic Dispatch Problem
by: Mohammadi, Sina, et al.
Published: (2025)
by: Mohammadi, Sina, et al.
Published: (2025)
Behavioral Generative Agents for Power Dispatch and Auction
by: Li, Shaoze, et al.
Published: (2026)
by: Li, Shaoze, et al.
Published: (2026)
Physics-informed Convolutional Neural Network for Microgrid Economic Dispatch
by: Ge, Xiaoyu, et al.
Published: (2024)
by: Ge, Xiaoyu, et al.
Published: (2024)
Real-Time Neural Distributed Energy Resources Dispatch with Feasibility Guarantees
by: Zhu, Jie, et al.
Published: (2026)
by: Zhu, Jie, et al.
Published: (2026)
Economic Model Predictive Control of Water Distribution Systems with Accelerated Optimization Algorithm
by: Putri, Saskia, et al.
Published: (2024)
by: Putri, Saskia, et al.
Published: (2024)
A Distributionally Robust Optimization Framework for Stochastic Assessment of Power System Flexibility in Economic Dispatch
by: Zhao, Xinyi, et al.
Published: (2024)
by: Zhao, Xinyi, et al.
Published: (2024)
Data-Driven Assessment of Vehicle-to-Grid Capabilities in Supporting Grid During Emergencies: Case Study of Travis County, TX
by: Nelson, Kelsey, et al.
Published: (2024)
by: Nelson, Kelsey, et al.
Published: (2024)
GAIA -- A Large Language Model for Advanced Power Dispatch
by: Cheng, Yuheng, et al.
Published: (2024)
by: Cheng, Yuheng, et al.
Published: (2024)
Open-Loop and Model Predictive Control for Electric Vehicle Charging to Manage Excess Renewable Energy Supply in Texas
by: Nelson, Kelsey M., et al.
Published: (2024)
by: Nelson, Kelsey M., et al.
Published: (2024)
Linear Aggregate Model for Realizable Dispatch of Homogeneous Energy Storage
by: Elsaadany, Mazen, et al.
Published: (2025)
by: Elsaadany, Mazen, et al.
Published: (2025)
Safe Imitation Learning-based Optimal Energy Storage Systems Dispatch in Distribution Networks
by: Hou, Shengren, et al.
Published: (2024)
by: Hou, Shengren, et al.
Published: (2024)
Coordinating Distributed Energy Resources with Nodal Pricing in Distribution Networks: a Game-Theoretic Approach
by: Brock, Eli, et al.
Published: (2025)
by: Brock, Eli, et al.
Published: (2025)
Towards Robust and Scalable Dispatch Modeling of Long-Duration Energy Storage
by: Guerra, Omar J., et al.
Published: (2024)
by: Guerra, Omar J., et al.
Published: (2024)
Hierarchical Optimal Dispatch of Active Distribution Networks Considering Flexibility Auxiliary Service of Multi-community Integrated Energy Systems
by: Wang, Chunling, et al.
Published: (2024)
by: Wang, Chunling, et al.
Published: (2024)
Neural Risk Limiting Dispatch in Power Networks: Formulation and Generalization Guarantees
by: Chen, Ge, et al.
Published: (2024)
by: Chen, Ge, et al.
Published: (2024)
Home Battery Dispatch under a Tiered Peak Power Tariff
by: Pérez-Piñeiro, David, et al.
Published: (2023)
by: Pérez-Piñeiro, David, et al.
Published: (2023)
A Methodology for Power Dispatch Based on Traction Station Clusters in the Flexible Traction Power Supply System
by: Li, Ruofan, et al.
Published: (2024)
by: Li, Ruofan, et al.
Published: (2024)
Large Language Model Powered Automated Modeling and Optimization of Active Distribution Network Dispatch Problems
by: Yang, Xu, et al.
Published: (2025)
by: Yang, Xu, et al.
Published: (2025)
Privacy-Preserving Uncertainty Disclosure for Facilitating Enhanced Energy Storage Dispatch
by: Qi, Ning, et al.
Published: (2025)
by: Qi, Ning, et al.
Published: (2025)
Firm-Dispatchable Power and its Requirement in a Power System based on Variable Generation
by: Clark, Stephen R., et al.
Published: (2024)
by: Clark, Stephen R., et al.
Published: (2024)
Distributionally Robust Joint Chance-Constrained Optimal Power Flow using Relative Entropy
by: Brock, Eli, et al.
Published: (2025)
by: Brock, Eli, et al.
Published: (2025)
Coordinated Dispatch of Energy Storage Systems in the Active Distribution Network: A Complementary Reinforcement Learning and Optimization Approach
by: Zhang, Bohan, et al.
Published: (2024)
by: Zhang, Bohan, et al.
Published: (2024)
Data-Driven Contextual-Aware Uncertainty Set for Robust Dispatch of Power Systems
by: Ruan, Zhaojun, et al.
Published: (2026)
by: Ruan, Zhaojun, et al.
Published: (2026)
Experimental Validation of Distributed Dispatching of Multiple Active Distribution Networks Using the ADMM
by: Jacobs, Matthieu, et al.
Published: (2025)
by: Jacobs, Matthieu, et al.
Published: (2025)
Fully Distributed Adaptive Consensus Approach for Economic Dispatch Problem
by: Pal, Arnab, et al.
Published: (2026)
by: Pal, Arnab, et al.
Published: (2026)
Nonlinear PDE Constrained Optimal Dispatch of Gas and Power: A Global Linearization Approach
by: Li, Yuan, et al.
Published: (2024)
by: Li, Yuan, et al.
Published: (2024)
Decentralized Equitable Energy Access in Energy Communities
by: Li, Siying, et al.
Published: (2024)
by: Li, Siying, et al.
Published: (2024)
Optimal Energy Dispatch of Grid-Connected Electric Vehicle Considering Lithium Battery Electrochemical Model
by: Chen, Yuanbo, et al.
Published: (2024)
by: Chen, Yuanbo, et al.
Published: (2024)
Optimal Bidding and Coordinated Dispatch of Hybrid Energy Systems in Regulation Markets
by: Mishra, Tanmay, et al.
Published: (2025)
by: Mishra, Tanmay, et al.
Published: (2025)
Frequency-Dynamics-Aware Economic Dispatch with Optimal Grid-Forming Inverter Allocation and Reserved Power Headroom
by: Jiang, Fan, et al.
Published: (2025)
by: Jiang, Fan, 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)
Topology-Aware Graph Reinforcement Learning for Energy Storage Systems Optimal Dispatch in Distribution Networks
by: Gao, Shuyi, et al.
Published: (2026)
by: Gao, Shuyi, et al.
Published: (2026)
Similar Items
-
Learning to Optimize Joint Chance-constrained Power Dispatch Problems
by: Li, Meiyi, et al.
Published: (2025) -
Balancing Passenger Transport and Power Distribution: A Distributed Dispatch Policy for Shared Autonomous Electric Vehicles
by: Robbennolt, Jake, et al.
Published: (2024) -
Machine Learning Infused Distributed Optimization for Coordinating Virtual Power Plant Assets
by: Li, Meiyi, et al.
Published: (2023) -
Towards Reliable Neural Optimizers: A Permutation Equivariant Neural Approximation for Information Processing Applications
by: Li, Meiyi, et al.
Published: (2024) -
Towards Reliable Neural Optimizers: Permutation-Equivariant Neural Approximation in Dynamic Data Driven Applications Systems
by: Li, Meiyi, et al.
Published: (2025)