Homotopy-Guided Self-Supervised Learning of Parametric Solutions for AC Optimal Power Flow
Fuente:
arXiv
Guardado en:
| Autores principales: | Li, Shimiao, Tuor, Aaron, Vrabie, Draguna, Pileggi, Larry, Drgona, Jan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Neural Lyapunov Differentiable Predictive Control
por: Mukherjee, Sayak, et al.
Publicado: (2022)
por: Mukherjee, Sayak, et al.
Publicado: (2022)
Learning Neural Differential Algebraic Equations via Operator Splitting
por: Koch, James, et al.
Publicado: (2024)
por: Koch, James, et al.
Publicado: (2024)
ML-Guided Primal Heuristics for Mixed Binary Quadratic Programs
por: Huang, Weimin, et al.
Publicado: (2026)
por: Huang, Weimin, et al.
Publicado: (2026)
Learning to Solve Constrained Bilevel Control Co-Design Problems
por: Kotary, James, et al.
Publicado: (2025)
por: Kotary, James, et al.
Publicado: (2025)
Differentiable Predictive Control for Large-Scale Urban Road Networks
por: Tumu, Renukanandan, et al.
Publicado: (2024)
por: Tumu, Renukanandan, et al.
Publicado: (2024)
Zero-Shot Transferable Solution Method for Parametric Optimal Control Problems
por: Li, Xingjian, et al.
Publicado: (2025)
por: Li, Xingjian, et al.
Publicado: (2025)
A Robust, Efficient Predictive Safety Filter
por: Cortez, Wenceslao Shaw, et al.
Publicado: (2023)
por: Cortez, Wenceslao Shaw, et al.
Publicado: (2023)
Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming
por: King, Ethan, et al.
Publicado: (2024)
por: King, Ethan, et al.
Publicado: (2024)
Residual Correction Models for AC Optimal Power Flow Using DC Optimal Power Flow Solutions
por: Za'ter, Muhy Eddin, et al.
Publicado: (2025)
por: Za'ter, Muhy Eddin, et al.
Publicado: (2025)
Adaptive Federated Learning via Dynamical System Model
por: Agarwal, Aayushya, et al.
Publicado: (2025)
por: Agarwal, Aayushya, et al.
Publicado: (2025)
FedECADO: A Dynamical System Model of Federated Learning
por: Agarwal, Aayushya, et al.
Publicado: (2024)
por: Agarwal, Aayushya, et al.
Publicado: (2024)
Contingency Analyses with Warm Starter using Probabilistic Graphical Model
por: Li, Shimiao, et al.
Publicado: (2023)
por: Li, Shimiao, et al.
Publicado: (2023)
A Convex Method of Generalized State Estimation using Circuit-theoretic Node-breaker Model
por: Li, Shimiao, et al.
Publicado: (2021)
por: Li, Shimiao, et al.
Publicado: (2021)
Efficient Primal Heuristics for Mixed Binary Quadratic Programs Using Suboptimal Rounding Guidance
por: Huang, Weimin, et al.
Publicado: (2025)
por: Huang, Weimin, et al.
Publicado: (2025)
LUMINA: A Grid Foundation Model for Benchmarking AC Optimal Power Flow Surrogate Learning
por: Jin, Hongwei, et al.
Publicado: (2026)
por: Jin, Hongwei, et al.
Publicado: (2026)
Dual Conic Proxies for AC Optimal Power Flow
por: Qiu, Guancheng, et al.
Publicado: (2023)
por: Qiu, Guancheng, et al.
Publicado: (2023)
Sparsity-exploiting Gaussian Process for Robust Transient Learning of Power System Dynamics
por: Gao, Tina, et al.
Publicado: (2025)
por: Gao, Tina, et al.
Publicado: (2025)
Beyond the Neural Fog: Interpretable Learning for AC Optimal Power Flow
por: Pineda, Salvador, et al.
Publicado: (2024)
por: Pineda, Salvador, et al.
Publicado: (2024)
Self-Supervised Learning for Large-Scale Preventive Security Constrained DC Optimal Power Flow
por: Park, Seonho, et al.
Publicado: (2023)
por: Park, Seonho, et al.
Publicado: (2023)
Differentiable Predictive Control for Robotics: A Data-Driven Predictive Safety Filter Approach
por: Viljoen, John, et al.
Publicado: (2024)
por: Viljoen, John, et al.
Publicado: (2024)
Towards Generalization of Graph Neural Networks for AC Optimal Power Flow
por: Arowolo, Olayiwola, et al.
Publicado: (2025)
por: Arowolo, Olayiwola, et al.
Publicado: (2025)
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow
por: Qiu, Guancheng, et al.
Publicado: (2025)
por: Qiu, Guancheng, et al.
Publicado: (2025)
Self-Guided Belief Propagation -- A Homotopy Continuation Method
por: Knoll, Christian, et al.
Publicado: (2018)
por: Knoll, Christian, et al.
Publicado: (2018)
Self-Supervised Learning via Flow-Guided Neural Operator on Time-Series Data
por: Nguyen, Duy, et al.
Publicado: (2026)
por: Nguyen, Duy, et al.
Publicado: (2026)
Learning to Optimize for Mixed-Integer Non-linear Programming with Feasibility Guarantees
por: Tang, Bo, et al.
Publicado: (2024)
por: Tang, Bo, et al.
Publicado: (2024)
Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow
por: Rosemberg, Andrew, et al.
Publicado: (2025)
por: Rosemberg, Andrew, et al.
Publicado: (2025)
Learning AC Power Flow Solutions using a Data-Dependent Variational Quantum Circuit
por: Le, Thinh Viet, et al.
Publicado: (2025)
por: Le, Thinh Viet, et al.
Publicado: (2025)
Learn Singularly Perturbed Solutions via Homotopy Dynamics
por: Chen, Chuqi, et al.
Publicado: (2025)
por: Chen, Chuqi, et al.
Publicado: (2025)
Regularity of Solutions to Beckmann's Parametric Optimal Transport
por: Gottschalk, Hanno, et al.
Publicado: (2026)
por: Gottschalk, Hanno, et al.
Publicado: (2026)
Efficient Gradient-Based Optimization for Joint Layout Design and Control of Wind Turbines
por: Kotary, James, et al.
Publicado: (2025)
por: Kotary, James, et al.
Publicado: (2025)
Parameter-Efficient Domain Adaptation of Physics-Informed Self-Attention based GNNs for AC Power Flow Prediction
por: Karim, Redwanul, et al.
Publicado: (2026)
por: Karim, Redwanul, et al.
Publicado: (2026)
Physics-informed machine learning for building performance simulation-A review of a nascent field
por: Jiang, Zixin, et al.
Publicado: (2025)
por: Jiang, Zixin, et al.
Publicado: (2025)
QCQP-Net: Reliably Learning Feasible Alternating Current Optimal Power Flow Solutions Under Constraints
por: Zeng, Sihan, et al.
Publicado: (2024)
por: Zeng, Sihan, et al.
Publicado: (2024)
Cyber-Resilient System Identification for Power Grid through Bayesian Integration
por: Li, Shimiao, et al.
Publicado: (2025)
por: Li, Shimiao, et al.
Publicado: (2025)
Optimal Sets and Solution Paths of ReLU Networks
por: Mishkin, Aaron, et al.
Publicado: (2023)
por: Mishkin, Aaron, et al.
Publicado: (2023)
Data Center Chiller Plant Optimization via Mixed-Integer Nonlinear Differentiable Predictive Control
por: Boldocký, Ján, et al.
Publicado: (2026)
por: Boldocký, Ján, et al.
Publicado: (2026)
A Theoretical Characterization of Optimal Data Augmentations in Self-Supervised Learning
por: Feigin, Shlomo Libo, et al.
Publicado: (2024)
por: Feigin, Shlomo Libo, et al.
Publicado: (2024)
Model-Informed Generative Adversarial Network (MI-GAN) for Learning Optimal Power Flow
por: Li, Yuxuan, et al.
Publicado: (2022)
por: Li, Yuxuan, et al.
Publicado: (2022)
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning
por: Xie, Johnathan, et al.
Publicado: (2024)
por: Xie, Johnathan, et al.
Publicado: (2024)
Scaling Laws of Machine Learning for Optimal Power Flow
por: Liu, Xinyi, et al.
Publicado: (2026)
por: Liu, Xinyi, et al.
Publicado: (2026)
Ejemplares similares
-
Neural Lyapunov Differentiable Predictive Control
por: Mukherjee, Sayak, et al.
Publicado: (2022) -
Learning Neural Differential Algebraic Equations via Operator Splitting
por: Koch, James, et al.
Publicado: (2024) -
ML-Guided Primal Heuristics for Mixed Binary Quadratic Programs
por: Huang, Weimin, et al.
Publicado: (2026) -
Learning to Solve Constrained Bilevel Control Co-Design Problems
por: Kotary, James, et al.
Publicado: (2025) -
Differentiable Predictive Control for Large-Scale Urban Road Networks
por: Tumu, Renukanandan, et al.
Publicado: (2024)