A Hybrid Decomposition Approach for Stochastic Unit Commitment with Combined-Cycle Generators
Fuente:
arXiv
Saved in:
| Main Authors: | Barrass, Rosemary, Nagarajan, Harsha, Tanneau, Mathieu, Bent, Russell, Van Hentenryck, Pascal |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the Viability of Stochastic Economic Dispatch for Real-Time Energy Market Clearing
by: Zhao, Haoruo, et al.
Published: (2023)
by: Zhao, Haoruo, et al.
Published: (2023)
Dual Lagrangian Learning for Conic Optimization
by: Tanneau, Mathieu, et al.
Published: (2024)
by: Tanneau, Mathieu, et al.
Published: (2024)
Leveraging Quantum Computing for Accelerated Classical Algorithms in Power Systems Optimization
by: Barrass, Rosemary, et al.
Published: (2025)
by: Barrass, Rosemary, et al.
Published: (2025)
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow
by: Qiu, Guancheng, et al.
Published: (2025)
by: Qiu, Guancheng, et al.
Published: (2025)
Dual Interior Point Optimization Learning
by: Klamkin, Michael, et al.
Published: (2024)
by: Klamkin, Michael, et al.
Published: (2024)
Dual Conic Proxies for AC Optimal Power Flow
by: Qiu, Guancheng, et al.
Published: (2023)
by: Qiu, Guancheng, et al.
Published: (2023)
PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow
by: Klamkin, Michael, et al.
Published: (2025)
by: Klamkin, Michael, et al.
Published: (2025)
Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch
by: Klamkin, Michael, et al.
Published: (2025)
by: Klamkin, Michael, et al.
Published: (2025)
Bound Tightening using Rolling-Horizon Decomposition for Neural Network Verification
by: Zhao, Haoruo, et al.
Published: (2024)
by: Zhao, Haoruo, et al.
Published: (2024)
Volt/VAR Optimization in Transmission Networks with Discrete-Control Devices
by: Tong, Shuaicheng, et al.
Published: (2026)
by: Tong, Shuaicheng, et al.
Published: (2026)
Compact Optimality Verification for Optimization Proxies
by: Chen, Wenbo, et al.
Published: (2024)
by: Chen, Wenbo, et al.
Published: (2024)
Bucketized Active Sampling for Learning ACOPF
by: Klamkin, Michael, et al.
Published: (2022)
by: Klamkin, Michael, et al.
Published: (2022)
Sobolev Training of End-to-End Optimization Proxies
by: Rosemberg, Andrew W., et al.
Published: (2025)
by: Rosemberg, Andrew W., et al.
Published: (2025)
Load Block Modeling in Distribution Systems: Network Reconfiguration for Load Restoration
by: Fobes, David M., et al.
Published: (2026)
by: Fobes, David M., et al.
Published: (2026)
Efficient Graph Partitioning under Resource Constraints: A Cutting-Plane Framework for Distribution Grids
by: Nguyen, Duong Thuy Anh, et al.
Published: (2026)
by: Nguyen, Duong Thuy Anh, et al.
Published: (2026)
Distributionally Robust Optimization for a Resilient Transmission Grid During Geomagnetic Disturbances
by: Lu, Mowen, et al.
Published: (2019)
by: Lu, Mowen, et al.
Published: (2019)
Optimization Learning
by: Van Hentenryck, Pascal
Published: (2025)
by: Van Hentenryck, Pascal
Published: (2025)
Transit Network Design with Two-Level Demand Uncertainties: A Machine Learning and Contextual Stochastic Optimization Framework
by: Guan, Hongzhao, et al.
Published: (2026)
by: Guan, Hongzhao, et al.
Published: (2026)
Strong Mixed-Integer Formulations for Transmission Expansion Planning with FACTS Devices
by: Wu, Kevin, et al.
Published: (2023)
by: Wu, Kevin, et al.
Published: (2023)
Contextual Stochastic Optimization for Omnichannel Multi-Courier Order Fulfillment Under Delivery Time Uncertainty
by: Ye, Tinghan, et al.
Published: (2024)
by: Ye, Tinghan, et al.
Published: (2024)
An MISOCP-Based Decomposition Approach for the Unit Commitment Problem with AC Power Flows
by: Tuncer, Deniz, et al.
Published: (2022)
by: Tuncer, Deniz, et al.
Published: (2022)
Parallel Batch Scheduling With Incompatible Job Families Via Constraint Programming
by: Huertas, Jorge A., et al.
Published: (2024)
by: Huertas, Jorge A., et al.
Published: (2024)
Value-Oriented Forecast Combinations for Unit Commitment
by: Ghazanfariharandi, Mehrnoush, et al.
Published: (2025)
by: Ghazanfariharandi, Mehrnoush, et al.
Published: (2025)
Scheduling and Routing in the Flexible Job Shop with Heterogeneous Transbots and Zoning: A Constraint Programming Approach
by: Moinuddin, Arnovi, et al.
Published: (2026)
by: Moinuddin, Arnovi, et al.
Published: (2026)
A General and Streamlined Differentiable Optimization Framework
by: Rosemberg, Andrew W., et al.
Published: (2025)
by: Rosemberg, Andrew W., et al.
Published: (2025)
Privacy-Preserving Convex Optimization: When Differential Privacy Meets Stochastic Programming
by: Dvorkin, Vladimir, et al.
Published: (2022)
by: Dvorkin, Vladimir, et al.
Published: (2022)
Self-Supervised Learning for Large-Scale Preventive Security Constrained DC Optimal Power Flow
by: Park, Seonho, et al.
Published: (2023)
by: Park, Seonho, et al.
Published: (2023)
AI4OPT: AI Institute for Advances in Optimization
by: Van Hentenryck, Pascal, et al.
Published: (2023)
by: Van Hentenryck, Pascal, et al.
Published: (2023)
Path-Based Formulations for the Design of On-demand Multimodal Transit Systems with Adoption Awareness
by: Guan, Hongzhao, et al.
Published: (2023)
by: Guan, Hongzhao, et al.
Published: (2023)
Bilevel Optimization and Heuristic Algorithms for Integrating Latent Demand into the Design of Large-Scale Transit Systems
by: Guan, Hongzhao, et al.
Published: (2022)
by: Guan, Hongzhao, et al.
Published: (2022)
Exact and Heuristic Approaches for the Stochastic N-k Interdiction in Power Grids
by: Sundar, Kaarthik, et al.
Published: (2024)
by: Sundar, Kaarthik, et al.
Published: (2024)
Scenario Reduction for the Two-Stage Stochastic Unit Commitment Problem
by: Werner, Yannick, et al.
Published: (2025)
by: Werner, Yannick, et al.
Published: (2025)
Paratransit Optimization with Constraint Programming: A Case Study in Savannah, Georgia
by: Jagrowski, Liam, et al.
Published: (2025)
by: Jagrowski, Liam, et al.
Published: (2025)
Tightening Quadratic Convex Relaxations for the AC Optimal Transmission Switching Problem
by: Guo, Cheng, et al.
Published: (2022)
by: Guo, Cheng, et al.
Published: (2022)
Optimal Robust Network Design: Formulations and Algorithms for Maximizing Algebraic Connectivity
by: Somisetty, Neelkamal, et al.
Published: (2023)
by: Somisetty, Neelkamal, et al.
Published: (2023)
Predict-and-Optimize Robust Unit Commitment with Statistical Guarantees via Weight Combination
by: Xie, Rui, et al.
Published: (2024)
by: Xie, Rui, et al.
Published: (2024)
Route Optimization Over Scheduled Services For Large-Scale Package Delivery Networks
by: Ahmed, Mohammed Faisal, et al.
Published: (2025)
by: Ahmed, Mohammed Faisal, et al.
Published: (2025)
Practice-Based Optimization for the Strategic Locomotive Assignment Problem
by: Kim, Yunji, et al.
Published: (2025)
by: Kim, Yunji, et al.
Published: (2025)
Optimizing Autonomous Transfer Hub Networks: Quantifying the Potential Impact of Self-Driving Trucks
by: Lee, Chungjae, et al.
Published: (2023)
by: Lee, Chungjae, et al.
Published: (2023)
An Open Source Stochastic Unit Commitment Tool using the PyPSA-Framework
by: Welfonder, Tom, et al.
Published: (2024)
by: Welfonder, Tom, et al.
Published: (2024)
Similar Items
-
On the Viability of Stochastic Economic Dispatch for Real-Time Energy Market Clearing
by: Zhao, Haoruo, et al.
Published: (2023) -
Dual Lagrangian Learning for Conic Optimization
by: Tanneau, Mathieu, et al.
Published: (2024) -
Leveraging Quantum Computing for Accelerated Classical Algorithms in Power Systems Optimization
by: Barrass, Rosemary, et al.
Published: (2025) -
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow
by: Qiu, Guancheng, et al.
Published: (2025) -
Dual Interior Point Optimization Learning
by: Klamkin, Michael, et al.
Published: (2024)