:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhou, Yihong, Cope, Dylan, Foerster, Jakob, Morstyn, Thomas
Format:	Preprint
Published:	2026
Subjects:	Systems and Control
Online Access:	https://arxiv.org/abs/2605.14103
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Datasets of Great Britain Primary Substations Integrated with Household Heating Information
by: Zhou, Yihong, et al.
Published: (2024)

FICA: Faster Inner Convex Approximation of Chance Constrained Grid Dispatch with Decision-Coupled Uncertainty
by: Zhou, Yihong, et al.
Published: (2025)

AI-focused HPC Data Centers Can Provide More Power Grid Flexibility and at Lower Cost
by: Zhou, Yihong, et al.
Published: (2024)

Bilevel Transmission Expansion Planning with Joint Chance-Constrained Dispatch
by: Xia, Yuxin, et al.
Published: (2025)

Crazyflow: An Accurate, GPU-Accelerated, Differentiable Drone Simulator in JAX
by: Schuck, Martin, et al.
Published: (2026)

Exploiting Data Centres and Local Energy Communities Synergies for Market Participation
by: Paredes, Ángel, et al.
Published: (2024)

Hypergraph-Based Fast Distributed AC Power Flow Optimization
by: Dai, Xinliang, et al.
Published: (2023)

Advancing Distributed AC Optimal Power Flow for Integrated Transmission-Distribution Systems
by: Dai, Xinliang, et al.
Published: (2023)

GATO: GPU-Accelerated and Batched Trajectory Optimization for Scalable Edge Model Predictive Control
by: Du, Alexander, et al.
Published: (2025)

Chargax: A JAX Accelerated EV Charging Simulator
by: Ponse, Koen, et al.
Published: (2025)

Strengthened and Faster Linear Approximation to Joint Chance Constraints with Wasserstein Ambiguity
by: Zhou, Yihong, et al.
Published: (2024)

AC-Network-Informed DC Optimal Power Flow for Electricity Markets
by: Constante-Flores, Gonzalo E., et al.
Published: (2024)

Learning to Pursue AC Optimal Power Flow Solutions with Feasibility Guarantees
by: Ajeyemi, Damola, et al.
Published: (2025)

A Bezier Curve Based Approach to the Convexification of the AC Optimal Power Flow Problem
by: Saldarriaga-Cortes, Carlos Arturo, et al.
Published: (2025)

Optimal Placement of Smart Hybrid Transformers in Distribution Networks
by: Hayward, Samuel, et al.
Published: (2025)

Applications of Lifted Nonlinear Cuts to Convex Relaxations of the AC Power Flow Equations
by: Bugosen, Sergio I., et al.
Published: (2024)

Bus Type Switching to Reduce Bound Violations in AC Power Flow
by: Van Boven, Anna, et al.
Published: (2025)

Beyond the Neural Fog: Interpretable Learning for AC Optimal Power Flow
by: Pineda, Salvador, et al.
Published: (2024)

Distributed AC Optimal Power Flow: A Scalable Solution for Large-Scale Problems
by: Dai, Xinliang, et al.
Published: (2025)

GPU-Accelerated Dynamic Programming for Multistage Stochastic Energy Storage Arbitrage
by: Lee, Thomas, et al.
Published: (2025)

AC Power Flow Feasibility Restoration via a State Estimation-Based Post-Processing Algorithm
by: Taheri, Babak, et al.
Published: (2023)

GPU-Accelerated DCOPF using Gradient-Based Optimization
by: Rafiei, Seide Saba, et al.
Published: (2024)

Data-driven AC Optimal Power Flow with Physics-informed Learning and Calibrations
by: Wang, Junfei, et al.
Published: (2024)

A Computationally Efficient Method for Solving Mixed-Integer AC Optimal Power Flow Problems
by: Heid, Johannes, et al.
Published: (2025)

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

Depreciation Cost is a Poor Proxy for Revenue Lost to Aging in Grid Storage Optimization
by: Kumtepeli, Volkan, et al.
Published: (2024)

Improved Physics-Informed Neural Network based AC Power Flow for Distribution Networks
by: Eeckhout, Victor, et al.
Published: (2024)

Global Performance Guarantees for Neural Network Models of AC Power Flow
by: Chevalier, Samuel, et al.
Published: (2022)

Modeling and Control of Hybrid Distribution Transformers for Simultaneous Grid Services
by: Doff-Sotta, Martin, et al.
Published: (2026)

AC/DC Frequency-Dependent Power Flow Jacobian: Quantifying Grid Support and Stability Implications
by: Lee, Dongyeong, et al.
Published: (2025)

Neural Networks for AC Optimal Power Flow: Improving Worst-Case Guarantees during Training
by: Giraud, Bastien, et al.
Published: (2025)

A Hybrid GNN-LSE Method for Fast, Robust, and Physically-Consistent AC Power Flow
by: Shamseldein, Mohamed
Published: (2025)

Stochastic Security Constrained AC Optimal Power Flow Using General Polynomial Chaos Expansion
by: Mohy-ud-din, Ghulam, et al.
Published: (2025)

Partial-Power Flow Controller, Voltage Regulator, and Energy Router for Hybrid AC-DC Grids
by: Asadi, Ehsan, et al.
Published: (2025)

Performance Comparison of Gate-Based and Adiabatic Quantum Computing for AC Power Flow Problem
by: Kaseb, Zeynab, et al.
Published: (2025)

An Enhanced Semidefinite Relaxation Model Combined with Clique Graph Merging Strategy for Efficient AC Optimal Power Flow Solution
by: Ruan, Zhaojun, et al.
Published: (2024)

Residual Correction Models for AC Optimal Power Flow Using DC Optimal Power Flow Solutions
by: Za'ter, Muhy Eddin, et al.
Published: (2025)

Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow
by: Rosemberg, Andrew, et al.
Published: (2025)

Design and Implementation of a Cloud Computing Security Assessment Model Based on Hierarchical Analysis and Fuzzy Comprehensive Evaluation
by: Zou, Yihong
Published: (2025)

Industrial Application of the Shapley value-based Redispatch Cost Allocation to Large-Scale Power Grids requires AC Optimal Power Flow
by: Bauer, Rebecca, et al.
Published: (2024)