Saved in:
| Main Authors: | Wang, Junfei, Srikantha, Pirathayini |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.09128 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generator Cost Coefficients Inference Attack via Exploitation of Locational Marginal Prices in Smart Grid
by: Wang, Junfei, et al.
Published: (2025)
by: Wang, Junfei, et al.
Published: (2025)
Synthetic Power Flow Data Generation Using Physics-Informed Denoising Diffusion Probabilistic Models
by: Wang, Junfei, et al.
Published: (2025)
by: Wang, Junfei, 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)
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)
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)
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)
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)
Advancing Distributed AC Optimal Power Flow for Integrated Transmission-Distribution Systems
by: Dai, Xinliang, et al.
Published: (2023)
by: Dai, Xinliang, et al.
Published: (2023)
Stochastic Security Constrained AC Optimal Power Flow Using General Polynomial Chaos Expansion
by: Mohy-ud-din, Ghulam, et al.
Published: (2025)
by: Mohy-ud-din, Ghulam, et al.
Published: (2025)
A Computationally Efficient Method for Solving Mixed-Integer AC Optimal Power Flow Problems
by: Heid, Johannes, et al.
Published: (2025)
by: Heid, Johannes, et al.
Published: (2025)
Residual Correction Models for AC Optimal Power Flow Using DC Optimal Power Flow Solutions
by: Za'ter, Muhy Eddin, et al.
Published: (2025)
by: Za'ter, Muhy Eddin, 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)
by: Saldarriaga-Cortes, Carlos Arturo, et al.
Published: (2025)
Data-driven Power Flow Linearization: Simulation
by: Jia, Mengshuo, et al.
Published: (2024)
by: Jia, Mengshuo, et al.
Published: (2024)
Neural Networks for AC Optimal Power Flow: Improving Worst-Case Guarantees during Training
by: Giraud, Bastien, et al.
Published: (2025)
by: Giraud, Bastien, et al.
Published: (2025)
Hypergraph-Based Fast Distributed AC Power Flow Optimization
by: Dai, Xinliang, et al.
Published: (2023)
by: Dai, Xinliang, et al.
Published: (2023)
Learning AC Power Flow Solutions using a Data-Dependent Variational Quantum Circuit
by: Le, Thinh Viet, et al.
Published: (2025)
by: Le, Thinh Viet, 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)
by: Ruan, Zhaojun, et al.
Published: (2024)
Improved Physics-Informed Neural Network based AC Power Flow for Distribution Networks
by: Eeckhout, Victor, et al.
Published: (2024)
by: Eeckhout, Victor, et al.
Published: (2024)
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)
by: Bauer, Rebecca, et al.
Published: (2024)
A Hybrid GNN-LSE Method for Fast, Robust, and Physically-Consistent AC Power Flow
by: Shamseldein, Mohamed
Published: (2025)
by: Shamseldein, Mohamed
Published: (2025)
Learning Optimal Power Flow with Pointwise Constraints
by: Owerko, Damian, et al.
Published: (2025)
by: Owerko, Damian, et al.
Published: (2025)
Inverse Chance Constrained Optimal Power Flow
by: Wang, Shenglu, et al.
Published: (2025)
by: Wang, Shenglu, 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)
by: Bugosen, Sergio I., et al.
Published: (2024)
On the Choice of Loss Function in Learning-based Optimal Power Flow
by: Chen, Ge, et al.
Published: (2024)
by: Chen, Ge, et al.
Published: (2024)
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)
Decentralized Stability-Constrained Optimal Power Flow for Inverter-Based Power Systems
by: Wang, Shigeng, et al.
Published: (2026)
by: Wang, Shigeng, et al.
Published: (2026)
Carbon-Aware Optimal Power Flow
by: Chen, Xin, et al.
Published: (2023)
by: Chen, Xin, et al.
Published: (2023)
Security-Constrained AC/DC Grid Optimal Power Flow Considering Asymmetrical HVDC Grid Operation using Sparse Tableau Formulation
by: Damanik, Oscar, et al.
Published: (2025)
by: Damanik, Oscar, et al.
Published: (2025)
Rebuild AC Power Flow Models with Graph Attention Networks
by: Hu, Yuting, et al.
Published: (2025)
by: Hu, Yuting, et al.
Published: (2025)
Data-driven Coordinated AC/DC Control Strategy for Frequency Safety
by: Cao, Qianni, et al.
Published: (2024)
by: Cao, Qianni, et al.
Published: (2024)
Data-Driven Optimal Power Flow: A Behavioral Systems Approach
by: Otzen, Sebastian, et al.
Published: (2025)
by: Otzen, Sebastian, et al.
Published: (2025)
Explicit Ensemble Learning Surrogate for Joint Chance-Constrained Optimal Power Flow
by: Javadi, Amir Bahador, et al.
Published: (2025)
by: Javadi, Amir Bahador, et al.
Published: (2025)
Data-driven Power Flow Linearization: Theory
by: Jia, Mengshuo, et al.
Published: (2024)
by: Jia, Mengshuo, et al.
Published: (2024)
Quantum Algorithms for Optimal Power Flow
by: Hafshejani, Sajad Fathi, et al.
Published: (2024)
by: Hafshejani, Sajad Fathi, et al.
Published: (2024)
JAX-Based Batched AC Power Flow for GPU Acceleration and AI Ecosystem Integration
by: Zhou, Yihong, et al.
Published: (2026)
by: Zhou, Yihong, et al.
Published: (2026)
Carbon-Aware Optimal Power Flow with Data-Driven Carbon Emission Tracing
by: Shao, Zhentong, et al.
Published: (2025)
by: Shao, Zhentong, et al.
Published: (2025)
Global Performance Guarantees for Neural Network Models of AC Power Flow
by: Chevalier, Samuel, et al.
Published: (2022)
by: Chevalier, Samuel, et al.
Published: (2022)
Data-driven Modeling of Linearizable Power Flow for Large-scale Grid Topology Optimization
by: Cho, Young-ho, et al.
Published: (2024)
by: Cho, Young-ho, et al.
Published: (2024)
Solving Optimal Power Flow on a Data-Budget: Feature Selection on Smart Meter Data
by: Kekatos, Vassilis, et al.
Published: (2025)
by: Kekatos, Vassilis, et al.
Published: (2025)
Optimal Power Flow Pursuit via Feedback-based Safe Gradient Flow
by: Colot, Antonin, et al.
Published: (2023)
by: Colot, Antonin, et al.
Published: (2023)
Similar Items
-
Generator Cost Coefficients Inference Attack via Exploitation of Locational Marginal Prices in Smart Grid
by: Wang, Junfei, et al.
Published: (2025) -
Synthetic Power Flow Data Generation Using Physics-Informed Denoising Diffusion Probabilistic Models
by: Wang, Junfei, et al.
Published: (2025) -
Learning to Pursue AC Optimal Power Flow Solutions with Feasibility Guarantees
by: Ajeyemi, Damola, et al.
Published: (2025) -
Beyond the Neural Fog: Interpretable Learning for AC Optimal Power Flow
by: Pineda, Salvador, et al.
Published: (2024) -
AC-Network-Informed DC Optimal Power Flow for Electricity Markets
by: Constante-Flores, Gonzalo E., et al.
Published: (2024)