Residual Correction Models for AC Optimal Power Flow Using DC Optimal Power Flow Solutions
Fuente:
arXiv
Saved in:
| Main Authors: | Za'ter, Muhy Eddin, Hodge, Bri-Mathias, Baker, Kyri |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning a Generalized Model for Substation Level Voltage Estimation in Distribution Networks
by: Za'ter, Muhy Eddin, et al.
Published: (2025)
by: Za'ter, Muhy Eddin, et al.
Published: (2025)
A Multi-Stage Warm-Start Deep Learning Framework for Unit Commitment
by: Za'ter, Muhy Eddin, et al.
Published: (2026)
by: Za'ter, Muhy Eddin, et al.
Published: (2026)
Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications
by: Za'ter, Muhy Eddin, et al.
Published: (2026)
by: Za'ter, Muhy Eddin, et al.
Published: (2026)
Leveraging Multi-Task Learning for Multi-Label Power System Security Assessment
by: Za'ter, Muhy Eddin, et al.
Published: (2025)
by: Za'ter, Muhy Eddin, et al.
Published: (2025)
Semi-Supervised Multi-Task Learning Based Framework for Power System Security Assessment
by: Za'ter, Muhy Eddin, et al.
Published: (2024)
by: Za'ter, Muhy Eddin, et al.
Published: (2024)
Power Grid Infrastructure for AI Data Centers
by: Sajadi, Amir, et al.
Published: (2026)
by: Sajadi, Amir, et al.
Published: (2026)
Modelling of a DC-DC Buck Converter Using Long-Short-Term-Memory (LSTM)
by: Za'ter, Muhy Eddin
Published: (2022)
by: Za'ter, Muhy Eddin
Published: (2022)
Optimal County-Level Siting of Data Centers in the United States
by: Vabson, Maria, et al.
Published: (2026)
by: Vabson, Maria, et al.
Published: (2026)
Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow
by: Rosemberg, Andrew, et al.
Published: (2025)
by: Rosemberg, Andrew, et al.
Published: (2025)
Bus Type Switching to Reduce Bound Violations in AC Power Flow
by: Van Boven, Anna, et al.
Published: (2025)
by: Van Boven, Anna, et al.
Published: (2025)
PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow
by: Klamkin, Michael, et al.
Published: (2025)
by: Klamkin, Michael, et al.
Published: (2025)
DiffOPF: Diffusion Solver for Optimal Power Flow
by: Hoseinpour, Milad, et al.
Published: (2025)
by: Hoseinpour, Milad, et al.
Published: (2025)
gridfm-datakit-v1: A Python Library for Scalable and Realistic Power Flow and Optimal Power Flow Data Generation
by: Puech, Alban, et al.
Published: (2025)
by: Puech, Alban, et al.
Published: (2025)
A General Approach of Automated Environment Design for Learning the Optimal Power Flow
by: Wolgast, Thomas, et al.
Published: (2025)
by: Wolgast, Thomas, et al.
Published: (2025)
Plane Wave Dynamic Model of Electric Power Networks with High Shares of Inverter-Based Resources
by: Sajadi, Amirhossein, et al.
Published: (2024)
by: Sajadi, Amirhossein, et al.
Published: (2024)
PowerFlowNet: Power Flow Approximation Using Message Passing Graph Neural Networks
by: Lin, Nan, et al.
Published: (2023)
by: Lin, Nan, et al.
Published: (2023)
Rebuild AC Power Flow Models with Graph Attention Networks
by: Hu, Yuting, et al.
Published: (2025)
by: Hu, Yuting, et al.
Published: (2025)
Newton's Lantern: A Reinforcement Learning Framework for Finetuning AC Power Flow Warm Start Models
by: Bose, Shourya, et al.
Published: (2026)
by: Bose, Shourya, et al.
Published: (2026)
Performance Assessment and Design Recommendations of Nonisolated DC/DC Converters and Maximum Power Point Tracking Techniques for Standalone Photovoltaic Systems
by: Majd Ghazi Batarseh, et al.
Published: (2025)
by: Majd Ghazi Batarseh, et al.
Published: (2025)
Test Time Training for AC Power Flow Surrogates via Physics and Operational Constraint Refinement
by: Dogoulis, Panteleimon, et al.
Published: (2025)
by: Dogoulis, Panteleimon, et al.
Published: (2025)
Optimal Power Grid Operations with Foundation Models
by: Puech, Alban, et al.
Published: (2024)
by: Puech, Alban, et al.
Published: (2024)
AC-Network-Informed DC Optimal Power Flow for Electricity Markets
by: Constante-Flores, Gonzalo E., et al.
Published: (2024)
by: Constante-Flores, Gonzalo E., et al.
Published: (2024)
Beyond the Neural Fog: Interpretable Learning for AC Optimal Power Flow
by: Pineda, Salvador, et al.
Published: (2024)
by: Pineda, Salvador, et al.
Published: (2024)
Analytical Models of Frequency and Voltage in Large-Scale All-Inverter Power Systems
by: Trujillo, Marena, et al.
Published: (2025)
by: Trujillo, Marena, et al.
Published: (2025)
Learning to Pursue AC Optimal Power Flow Solutions with Feasibility Guarantees
by: Ajeyemi, Damola, et al.
Published: (2025)
by: Ajeyemi, Damola, et al.
Published: (2025)
Synchronous Condensers: Enhancing Stability in Power Systems with Grid-Following Inverters
by: Sajadi, Amir, et al.
Published: (2026)
by: Sajadi, Amir, et al.
Published: (2026)
PowerModelsGAT-AI: Physics-Informed Graph Attention for Multi-System Power Flow with Continual Learning
by: Ezeakunne, Chidozie, et al.
Published: (2026)
by: Ezeakunne, Chidozie, et al.
Published: (2026)
Lunar Power Grid: Network Structure and Spontaneous Synchronization
by: Walth, Mark, et al.
Published: (2024)
by: Walth, Mark, et al.
Published: (2024)
Inferring Ingrained Remote Information in AC Power Flows Using Neuromorphic Modality Regime
by: Diao, Xiaoguang, et al.
Published: (2024)
by: Diao, Xiaoguang, et al.
Published: (2024)
Distributed AC Optimal Power Flow: A Scalable Solution for Large-Scale Problems
by: Dai, Xinliang, et al.
Published: (2025)
by: Dai, Xinliang, et al.
Published: (2025)
Quantum Power Flows: From Theory to Practice
by: Liu, Junyu, et al.
Published: (2022)
by: Liu, Junyu, et al.
Published: (2022)
Reduced Optimal Power Flow Using Graph Neural Network
by: Pham, Thuan, et al.
Published: (2022)
by: Pham, Thuan, et al.
Published: (2022)
Selective State-Space Models for Koopman-based Data-driven Distribution System State Estimation
by: Alabdulrazzaq, Bader, et al.
Published: (2026)
by: Alabdulrazzaq, Bader, et al.
Published: (2026)
An Efficient Learning-Based Solver for Two-Stage DC Optimal Power Flow with Feasibility Guarantees
by: Zhang, Ling, et al.
Published: (2023)
by: Zhang, Ling, et al.
Published: (2023)
A New Benchmark for Evaluating Automatic Speech Recognition in the Arabic Call Domain
by: Obaidah, Qusai Abo, et al.
Published: (2024)
by: Obaidah, Qusai Abo, et al.
Published: (2024)
Congestion-Sensitive Grid Aggregation for DC Optimal Power Flow
by: Stöckl, Benjamin, et al.
Published: (2025)
by: Stöckl, Benjamin, et al.
Published: (2025)
Residual Power Flow for Neural Solvers
by: Stiasny, Jochen, et al.
Published: (2026)
by: Stiasny, Jochen, et al.
Published: (2026)
Scaling Laws of Machine Learning for Optimal Power Flow
by: Liu, Xinyi, et al.
Published: (2026)
by: Liu, Xinyi, et al.
Published: (2026)
Learning the Optimal Power Flow: Environment Design Matters
by: Wolgast, Thomas, et al.
Published: (2024)
by: Wolgast, Thomas, et al.
Published: (2024)
Modeling to Generate Alternatives for Robustness of Mixed Integer DC Optimal Power Flow
by: Crozier, Constance
Published: (2025)
by: Crozier, Constance
Published: (2025)
Similar Items
-
Learning a Generalized Model for Substation Level Voltage Estimation in Distribution Networks
by: Za'ter, Muhy Eddin, et al.
Published: (2025) -
A Multi-Stage Warm-Start Deep Learning Framework for Unit Commitment
by: Za'ter, Muhy Eddin, et al.
Published: (2026) -
Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications
by: Za'ter, Muhy Eddin, et al.
Published: (2026) -
Leveraging Multi-Task Learning for Multi-Label Power System Security Assessment
by: Za'ter, Muhy Eddin, et al.
Published: (2025) -
Semi-Supervised Multi-Task Learning Based Framework for Power System Security Assessment
by: Za'ter, Muhy Eddin, et al.
Published: (2024)