:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Boateng, Michael A., Bent, Russell, Misra, Sidhant, Pareek, Parikshit, Van Hentenryck, Pascal, Molzahn, Daniel
Format:	Preprint
Published:	2025
Subjects:	Systems and Control
Online Access:	https://arxiv.org/abs/2511.14725
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Data-Efficient Strategies for Probabilistic Voltage Envelopes under Network Contingencies
by: Pareek, Parikshit, et al.
Published: (2023)

Learning Power Flow with Confidence: A Probabilistic Guarantee Framework for Voltage Risk
by: Pareek, Parikshit, et al.
Published: (2023)

Limitations of Fault-Tolerant Quantum Linear System Solvers for Quantum Power Flow
by: Pareek, Parikshit, et al.
Published: (2024)

Sample-Based Piecewise Linear Power Flow Approximations Using Second-Order Sensitivities
by: Buason, Paprapee, et al.
Published: (2025)

Conservative Bias Linear Power Flow Approximations: Application to Unit Commitment
by: Buason, Paprapee, et al.
Published: (2024)

Optimization Proxies using Limited Labeled Data and Training Time -- A Semi-Supervised Bayesian Neural Network Approach
by: Pareek, Parikshit, et al.
Published: (2024)

A Data-Driven Sensor Placement Approach for Detecting Voltage Violations in Distribution Systems
by: Buason, Paprapee, et al.
Published: (2022)

Adaptive Power Flow Approximations with Second-Order Sensitivity Insights
by: Buason, Paprapee, et al.
Published: (2024)

Volt/VAR Optimization in Transmission Networks with Discrete-Control Devices
by: Tong, Shuaicheng, et al.
Published: (2026)

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

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

AC-Informed DC Optimal Transmission Switching Problems via Parameter Optimization
by: Taheri, Babak, et al.
Published: (2024)

Parallel Batch Scheduling With Incompatible Job Families Via Constraint Programming
by: Huertas, Jorge A., et al.
Published: (2024)

Discrete Shortest Paths in Optimal Power Flow Feasible Regions
by: Turizo, Daniel, et al.
Published: (2024)

Power Flow Approximations for Multiphase Distribution Networks using Gaussian Processes
by: Glover, Daniel, et al.
Published: (2025)

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow
by: Klamkin, Michael, et al.
Published: (2025)

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

A Deep Neural Network-based Frequency Predictor for Frequency-Constrained Optimal Power Flow
by: Jiang, Fan, et al.
Published: (2025)

High-Resolution PTDF-Based Planning of Storage and Transmission Under High Renewables
by: Wu, Kevin, et al.
Published: (2025)

Machine Learning-assisted Dynamics-Constrained Day-Ahead Energy Scheduling
by: Tuo, Mingjian, et al.
Published: (2023)

Deep Neural Network-Enhanced Frequency-Constrained Optimal Power Flow with Multi-Governor Dynamics
by: Jiang, Fan, et al.
Published: (2026)

Electricity-Aware Bid Format for Coordinated Heat and Electricity Market Clearing
by: Mitridati, Lesia, et al.
Published: (2020)

Strong Mixed-Integer Formulations for Transmission Expansion Planning with FACTS Devices
by: Wu, Kevin, et al.
Published: (2023)

High-Spatial Resolution Transmission and Storage Expansion Planning for High Renewable Grids: A Case Study
by: Wu, Kevin, et al.
Published: (2024)

On the Viability of Stochastic Economic Dispatch for Real-Time Energy Market Clearing
by: Zhao, Haoruo, et al.
Published: (2023)

Certifying the Nonexistence of Feasible Path Between Power System Operating Points
by: Narimani, Mohammad Rasoul, et al.
Published: (2025)

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch
by: Klamkin, Michael, et al.
Published: (2025)

A Hybrid Decomposition Approach for Stochastic Unit Commitment with Combined-Cycle Generators
by: Barrass, Rosemary, et al.
Published: (2026)

Fast Diffusion with Physics-Correction for ACOPF
by: Shekhar, Shashank, et al.
Published: (2026)

Invertibility Conditions for the Admittance Matrices of Balanced Power Systems
by: Turizo, Daniel, et al.
Published: (2020)

Sobolev Training of End-to-End Optimization Proxies
by: Rosemberg, Andrew W., et al.
Published: (2025)

Fast and Certified Bounding of Security-Constrained DCOPF via Interval Bound Propagation
by: Tekeler, Eren, et al.
Published: (2025)

Inertia-Constrained Generation Scheduling: Sample Selection, Learning-Embedded Optimization Modeling, and Computational Enhancement
by: Tuo, Mingjian, et al.
Published: (2023)

A Fault-Tolerant Distributed Termination Method for Distributed Optimization Algorithms
by: Alkhraijah, Mohannad, et al.
Published: (2024)

Improving the Accuracy of DC Optimal Power Flow Formulations via Parameter Optimization
by: Taheri, Babak, et al.
Published: (2024)

Bucketized Active Sampling for Learning ACOPF
by: Klamkin, Michael, et al.
Published: (2022)

Dual Conic Proxies for AC Optimal Power Flow
by: Qiu, Guancheng, et al.
Published: (2023)

Optimizing Parameters of the DC Power Flow
by: Taheri, Babak, et al.
Published: (2023)

Water Demand Maximization: Quick Recovery of Nonlinear Physics Solutions
by: Hari, Sai Krishna Kanth, et al.
Published: (2026)

Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow
by: Qiu, Guancheng, et al.
Published: (2025)