Saved in:
| Main Authors: | Peter, Benjamin M., Korkali, Mert |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.14412 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust Defense Against Extreme Grid Events Using Dual-Policy Reinforcement Learning Agents
by: Peter, Benjamin M., et al.
Published: (2024)
by: Peter, Benjamin M., et al.
Published: (2024)
Deep-Learning-Directed Preventive Dynamic Security Control via Coordinated Demand Response
by: Masoumi, Amin, et al.
Published: (2025)
by: Masoumi, Amin, et al.
Published: (2025)
Quantum-Embedded Dynamic Security Control using Hybrid Deep Reinforcement Learning
by: Masoumi, Amin, et al.
Published: (2025)
by: Masoumi, Amin, et al.
Published: (2025)
Quantum-Accelerated Deep Reinforcement Learning for Frequency Regulation Enhancement
by: Masoumi, Amin, et al.
Published: (2025)
by: Masoumi, Amin, et al.
Published: (2025)
Transient-Stability-Aware Frequency Provision in IBR-Rich Grids via Information Gap Decision Theory and Deep Learning
by: Masoumi, Amin, et al.
Published: (2025)
by: Masoumi, Amin, et al.
Published: (2025)
Physics Informed Reinforcement Learning with Gibbs Priors for Topology Control in Power Grids
by: Dogoulis, Pantelis, et al.
Published: (2026)
by: Dogoulis, Pantelis, et al.
Published: (2026)
Multi-Objective Reinforcement Learning for Power Grid Topology Control
by: Lautenbacher, Thomas, et al.
Published: (2025)
by: Lautenbacher, Thomas, et al.
Published: (2025)
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)
Optimizing Power Grid Topologies with Reinforcement Learning: A Survey of Methods and Challenges
by: van der Sar, Erica, et al.
Published: (2025)
by: van der Sar, Erica, et al.
Published: (2025)
Anomaly Detection with Machine Learning Algorithms in Large-Scale Power Grids
by: Gillioz, Marc, et al.
Published: (2026)
by: Gillioz, Marc, et al.
Published: (2026)
State and Action Factorization in Power Grids
by: Losapio, Gianvito, et al.
Published: (2024)
by: Losapio, Gianvito, et al.
Published: (2024)
Quantum-Enhanced Reinforcement Learning for Accelerating Newton-Raphson Convergence with Ising Machines: A Case Study for Power Flow Analysis
by: Kaseb, Zeynab, et al.
Published: (2025)
by: Kaseb, Zeynab, et al.
Published: (2025)
Multilayer GNN for Predictive Maintenance and Clustering in Power Grids
by: Kazim, Muhammad, et al.
Published: (2025)
by: Kazim, Muhammad, et al.
Published: (2025)
Predicting Fault-Ride-Through Probability of Inverter-Dominated Power Grids using Machine Learning
by: Nauck, Christian, et al.
Published: (2024)
by: Nauck, Christian, et al.
Published: (2024)
Optimal Power Grid Operations with Foundation Models
by: Puech, Alban, et al.
Published: (2024)
by: Puech, Alban, et al.
Published: (2024)
Anomaly Detection in Smart Power Grids with Graph-Regularized MS-SVDD: a Multimodal Subspace Learning Approach
by: Debelle, Thomas, et al.
Published: (2025)
by: Debelle, Thomas, et al.
Published: (2025)
Fast Critical Clearing Time Calculation for Power Systems with Synchronous and Asynchronous Generation
by: Wang, Xuezao, et al.
Published: (2025)
by: Wang, Xuezao, et al.
Published: (2025)
Enhancing Reinforcement Learning Agents with Local Guides
by: Daoudi, Paul, et al.
Published: (2024)
by: Daoudi, Paul, et al.
Published: (2024)
A Safe Reinforcement Learning Algorithm for Supervisory Control of Power Plants
by: Sun, Yixuan, et al.
Published: (2024)
by: Sun, Yixuan, et al.
Published: (2024)
PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids
by: Suri, Dhruv, et al.
Published: (2025)
by: Suri, Dhruv, et al.
Published: (2025)
CommonPower: A Framework for Safe Data-Driven Smart Grid Control
by: Eichelbeck, Michael, et al.
Published: (2024)
by: Eichelbeck, Michael, et al.
Published: (2024)
Imitation Learning for Intra-Day Power Grid Operation through Topology Actions
by: de Jong, Matthijs, et al.
Published: (2024)
by: de Jong, Matthijs, et al.
Published: (2024)
Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: $\sqrt{T}$-Regret
by: Schiffer, Benjamin, et al.
Published: (2025)
by: Schiffer, Benjamin, et al.
Published: (2025)
Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: Generalized Baselines
by: Schiffer, Benjamin, et al.
Published: (2024)
by: Schiffer, Benjamin, et al.
Published: (2024)
Topology-Aware Reinforcement Learning over Graphs for Resilient Power Distribution Networks
by: Jacob, Roshni Anna, et al.
Published: (2026)
by: Jacob, Roshni Anna, et al.
Published: (2026)
Reinforcement Learning Based Bidding Framework with High-dimensional Bids in Power Markets
by: Liu, Jinyu, et al.
Published: (2024)
by: Liu, Jinyu, et al.
Published: (2024)
PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis
by: He, Xinyu, et al.
Published: (2025)
by: He, Xinyu, et al.
Published: (2025)
Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning
by: Mukherjee, Sayak, et al.
Published: (2022)
by: Mukherjee, Sayak, et al.
Published: (2022)
Deep Reinforcement Learning Behavioral Mode Switching Using Optimal Control Based on a Latent Space Objective
by: Remman, Sindre Benjamin, et al.
Published: (2024)
by: Remman, Sindre Benjamin, et al.
Published: (2024)
Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach
by: Fang, Hao, et al.
Published: (2025)
by: Fang, Hao, et al.
Published: (2025)
Federated Learning Forecasting for Strengthening Grid Reliability and Enabling Markets for Resilience
by: Pereira, Lucas, et al.
Published: (2024)
by: Pereira, Lucas, et al.
Published: (2024)
Synergies between Federated Foundation Models and Smart Power Grids
by: Hosseinalipour, Seyyedali, et al.
Published: (2025)
by: Hosseinalipour, Seyyedali, et al.
Published: (2025)
Offline Reinforcement-Learning-Based Power Control for Application-Agnostic Energy Efficiency
by: Raj, Akhilesh, et al.
Published: (2026)
by: Raj, Akhilesh, et al.
Published: (2026)
On-Meter Graph Machine Learning: A Case Study of PV Power Forecasting for Grid Edge Intelligence
by: Huang, Jian, et al.
Published: (2026)
by: Huang, Jian, et al.
Published: (2026)
Leveraging the Potential of Novel Data in Power Line Communication of Electricity Grids
by: Balada, Christoph, et al.
Published: (2022)
by: Balada, Christoph, et al.
Published: (2022)
Physics-Informed Learning of Proprietary Inverter Models for Grid Dynamic Studies
by: Kwon, Kyung-Bin, et al.
Published: (2025)
by: Kwon, Kyung-Bin, et al.
Published: (2025)
Graph Embedding Dynamic Feature-based Supervised Contrastive Learning of Transient Stability for Changing Power Grid Topologies
by: Lv, Zijian, et al.
Published: (2023)
by: Lv, Zijian, et al.
Published: (2023)
Recurrent Auto-Encoders for Enhanced Deep Reinforcement Learning in Wilderness Search and Rescue Planning
by: Ewers, Jan-Hendrik, et al.
Published: (2025)
by: Ewers, Jan-Hendrik, et al.
Published: (2025)
Stochastic Dynamic Power Dispatch with High Generalization and Few-Shot Adaption via Contextual Meta Graph Reinforcement Learning
by: Deng, Bairong, et al.
Published: (2024)
by: Deng, Bairong, et al.
Published: (2024)
Similar Items
-
Robust Defense Against Extreme Grid Events Using Dual-Policy Reinforcement Learning Agents
by: Peter, Benjamin M., et al.
Published: (2024) -
Deep-Learning-Directed Preventive Dynamic Security Control via Coordinated Demand Response
by: Masoumi, Amin, et al.
Published: (2025) -
Quantum-Embedded Dynamic Security Control using Hybrid Deep Reinforcement Learning
by: Masoumi, Amin, et al.
Published: (2025) -
Quantum-Accelerated Deep Reinforcement Learning for Frequency Regulation Enhancement
by: Masoumi, Amin, et al.
Published: (2025) -
Transient-Stability-Aware Frequency Provision in IBR-Rich Grids via Information Gap Decision Theory and Deep Learning
by: Masoumi, Amin, et al.
Published: (2025)