Cover Image

Explicit Ensemble Learning Surrogate for Joint Chance-Constrained Optimal Power Flow

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Javadi, Amir Bahador, Kargarian, Amin
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Constraint Surrogate Model for Two-stage Stochastic Unit Commitment
by: Javadi, Amir Bahador, et al.
Published: (2025)

Inverse Chance Constrained Optimal Power Flow
by: Wang, Shenglu, et al.
Published: (2025)

Distributionally Robust Joint Chance-Constrained Optimal Power Flow using Relative Entropy
by: Brock, Eli, et al.
Published: (2025)

Computing Optimal Joint Chance Constrained Control Policies
by: Schmid, Niklas, et al.
Published: (2023)

Automatic Regression for Governing Equations with Control (ARGOSc)
by: Javadi, Amir Bahador, et al.
Published: (2025)

Joint Chance Constrained Optimal Control via Linear Programming
by: Schmid, Niklas, et al.
Published: (2024)

Chance-Constrained DC Optimal Power Flow Using Constraint-Informed Statistical Estimation
by: Yi, Tianyang, et al.
Published: (2025)

Distributionally Robust Joint Chance-Constrained Optimization for Electricity Imbalance: Integrating Renewables and Storage
by: Noori, Amir, et al.
Published: (2024)

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

Dynamic Quantum-Assisted Co-Design of Control Tuning and Lyapunov Stability Synthesis for Nonlinear Systems
by: Hasanzadeh, Milad, et al.
Published: (2026)

Distributed Implementation of Variational Quantum Eigensolver to Solve QUBO Problems
by: Hasanzadeh, Milad, et al.
Published: (2025)

Decentralized Stability-Constrained Optimal Power Flow for Inverter-Based Power Systems
by: Wang, Shigeng, et al.
Published: (2026)

All-Pass Fractional OPF: A Solver-Friendly, Physics-Preserving Approximation of AC OPF
by: Hasanzadeh, Milad, et al.
Published: (2026)

Discrete Distributionally Robust Optimal Control with Explicitly Constrained Optimization
by: Shida, Yuma, et al.
Published: (2024)

Sample Complexity of Chance Constrained Optimization in Dynamic Environment
by: Shukla, Apurv, et al.
Published: (2024)

A Review on Symbolic Regression in Power Systems: Methods, Applications, and Future Directions
by: Javadi, Amir Bahador, et al.
Published: (2025)

Computationally Efficient Chance Constrained Covariance Control with Output Feedback
by: Pilipovsky, Joshua, et al.
Published: (2023)

Chance-Constrained Energy Storage Pricing for Social Welfare Maximization
by: Qi, Ning, et al.
Published: (2024)

Learning Interior Point Method Central Path Projection for Optimal Power Flow
by: Amani, Farshad, et al.
Published: (2025)

Uncertainty Partitioning with Probabilistic Feasibility and Performance Guarantees for Chance-Constrained Optimization
by: Cordiano, Francesco, et al.
Published: (2025)

Distributionally Robust Control for Chance-Constrained Signal Temporal Logic Specifications
by: Kordabad, Arash Bahari, et al.
Published: (2024)

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

On the Choice of Loss Function in Learning-based Optimal Power Flow
by: Chen, Ge, et al.
Published: (2024)

Carbon-Aware Optimal Power Flow
by: Chen, Xin, et al.
Published: (2023)

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

Unifying Chance-Constrained and Robust Optimal Power Flow for Resilient Network Operations
by: Porras, Álvaro, et al.
Published: (2023)

Conformal Predictive Programming for Chance Constrained Optimization
by: Zhao, Yiqi, et al.
Published: (2024)

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

Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method
by: Amani, Farshad, et al.
Published: (2024)

Chance-Constrained Control for Safe Spacecraft Autonomy: Convex Programming Approach
by: Oguri, Kenshiro
Published: (2024)

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

Optimal Power Flow Pursuit via Feedback-based Safe Gradient Flow
by: Colot, Antonin, et al.
Published: (2023)

Congestion-Sensitive Grid Aggregation for DC Optimal Power Flow
by: Stöckl, Benjamin, et al.
Published: (2025)

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

Ex Post Conditions for the Exactness of Optimal Power Flow Conic Relaxations
by: Lupien, Jean-Luc, et al.
Published: (2023)

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

Constrained Fuel and Time Optimal 6DOF Powered Descent Guidance Using Indirect Optimization
by: Nurre, Nicholas P., et al.
Published: (2025)

Data-driven Modeling of Grid-following Control in Grid-connected Converters
by: Javadi, Amir Bahador, et al.
Published: (2025)

Grid-forming Control of Converter Infinite Bus System: Modeling by Data-driven Methods
by: Javadi, Amir Bahador, et al.
Published: (2025)

A Decomposition Method for Solving Sensitivity-Based Distributed Optimal Power Flow
by: Alkhraijah, Mohannad, et al.
Published: (2025)