Cover Image

Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Context

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Jianyu, Sun, Qiuzhuang, Yang, Yang, Mo, Huadong, Dong, Daoyi
Format:	Preprint
Published:	2024
Subjects:	Systems and Control Machine Learning Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond the Neural Fog: Interpretable Learning for AC Optimal Power Flow
by: Pineda, Salvador, et al.
Published: (2024)

Physics-Informed Graph Neural Network for Dynamic Reconfiguration of Power Systems
by: Authier, Jules, et al.
Published: (2023)

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)

Online Nonstochastic Prediction: Logarithmic Regret via Predictive Online Least Squares
by: Pai, Chih-Fan, et al.
Published: (2026)

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow
by: Klamkin, Michael, et al.
Published: (2025)

Online Learning for Supervisory Switching Control
by: Sun, Haoyuan, et al.
Published: (2026)

Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow
by: Rosemberg, Andrew, et al.
Published: (2025)

Online Control of Linear Systems under Unbounded Noise
by: Ito, Kaito, et al.
Published: (2024)

Universal Approximation Power of Deep Residual Neural Networks via Nonlinear Control Theory
by: Tabuada, Paulo, et al.
Published: (2020)

Online Reinforcement Learning in Markov Decision Process Using Linear Programming
by: Leon, Vincent, et al.
Published: (2023)

Data-Driven Adversarial Online Control for Unknown Linear Systems
by: Liu, Zishun, et al.
Published: (2023)

Learning AC Power Flow Solutions using a Data-Dependent Variational Quantum Circuit
by: Le, Thinh Viet, et al.
Published: (2025)

Almost Surely $\sqrt{T}$ Regret for Adaptive LQR
by: Lu, Yiwen, et al.
Published: (2023)

Compositional Diffusion Models for Powered Descent Trajectory Generation with Flexible Constraints
by: Briden, Julia, et al.
Published: (2024)

Solving Conic Programs over Sparse Graphs using a Variational Quantum Approach: The Case of the Optimal Power Flow
by: Le, Thinh Viet, et al.
Published: (2025)

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

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

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance
by: Briden, Julia, et al.
Published: (2025)

Optimal Power Grid Operations with Foundation Models
by: Puech, Alban, et al.
Published: (2024)

Data-Driven Motion Planning for Uncertain Nonlinear Systems
by: Esmaeili, Babak, et al.
Published: (2025)

Safe Online Control-Informed Learning
by: Zhou, Tianyu, et al.
Published: (2025)

Distributed Online Submodular Maximization under Communication Delays: A Simultaneous Decision-Making Approach
by: Xu, Zirui, et al.
Published: (2026)

Efficient Reachability Analysis for Convolutional Neural Networks Using Hybrid Zonotopes
by: Zhang, Yuhao, et al.
Published: (2025)

Predictive Linear Online Tracking for Unknown Targets
by: Tsiamis, Anastasios, et al.
Published: (2024)

Optimistic Online LQR via Intrinsic Rewards
by: Bartos, Marcell, et al.
Published: (2026)

Score Matching Diffusion Based Feedback Control and Planning of Nonlinear Systems
by: Elamvazhuthi, Karthik, et al.
Published: (2025)

Safe Gradient Flow for Bilevel Optimization
by: Sharifi, Sina, et al.
Published: (2025)

Online Residual Learning from Offline Experts for Pedestrian Tracking
by: Vlachos, Anastasios, et al.
Published: (2024)

Online Learning of Kalman Filtering: From Output to State Estimation
by: Ye, Lintao, et al.
Published: (2026)

Capacity Expansion Planning for Puerto Rico's Electric Power System
by: Glista, Elizabeth, et al.
Published: (2026)

Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions
by: Castañeda, Fernando, et al.
Published: (2022)

The Sample Complexity of Online Reinforcement Learning: A Multi-model Perspective
by: Muehlebach, Michael, et al.
Published: (2025)

Randomized Transport Plans via Hierarchical Fully Probabilistic Design
by: Y., Sarah Boufelja, et al.
Published: (2024)

Quantitative Flow Approximation Properties of Narrow Neural ODEs
by: Elamvazhuthi, Karthik
Published: (2025)

Regret Analysis of Policy Optimization over Submanifolds for Linearly Constrained Online LQG
by: Chang, Ting-Jui, et al.
Published: (2024)

Online Convex Optimization and Integral Quadratic Constraints: An automated approach to regret analysis
by: Jakob, Fabian, et al.
Published: (2025)

Learning Dissipative Neural Dynamical Systems
by: Xu, Yuezhu, et al.
Published: (2023)

Online Optimization and Ambiguity-based Learning of Distributionally Uncertain Dynamic Systems
by: Li, Dan, et al.
Published: (2021)

Robust Online Learning over Networks
by: Bastianello, Nicola, et al.
Published: (2023)

Response-Aware Risk-Constrained Control Barrier Function With Application to Vehicles
by: Liao, Qijun, et al.
Published: (2026)