Cover Image

Transferable Graph Learning for Transmission Congestion Management via Busbar Splitting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rajaei, Ali, Palensky, Peter, Cremer, Jochen L.
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Security-Constrained Substation Reconfiguration Considering Busbar and Coupler Contingencies
by: Rajaei, Ali, et al.
Published: (2026)

Multi-Objective Reinforcement Learning for Power Grid Topology Control
by: Lautenbacher, Thomas, et al.
Published: (2025)

Graph Neural Networks for Transmission Grid Topology Control: Busbar Information Asymmetry and Heterogeneous Representations
by: de Jong, Matthijs, et al.
Published: (2025)

Towards Generalization of Graph Neural Networks for AC Optimal Power Flow
by: Arowolo, Olayiwola, et al.
Published: (2025)

Addressing Model Inaccuracies in Transmission Network Reconfiguration via Diverse Alternatives
by: Bannmüller, Paul, et al.
Published: (2025)

Learning a Reward Function for User-Preferred Appliance Scheduling
by: Čović, Nikolina, et al.
Published: (2023)

Learning Transferable Skills in Action RPGs via Directed Skill Graphs and Selective Adaptation
by: Najar, Ali
Published: (2026)

On the Definition of Robustness and Resilience of AI Agents for Real-time Congestion Management
by: Tjhay, Timothy, et al.
Published: (2025)

Optimal Transmission Switching and Busbar Splitting in Hybrid AC/DC Grids
by: Bastianel, Giacomo, et al.
Published: (2024)

Integrated Learning and Optimization for Congestion Management and Profit Maximization in Real-Time Electricity Market
by: Pervez, Imran, et al.
Published: (2024)

Sim2Sea: Sim-to-Real Policy Transfer for Maritime Vessel Navigation in Congested Waters
by: Cui, Xinyu, et al.
Published: (2026)

Congestion Forecast for Trains with Railroad-Graph-based Semi-Supervised Learning using Sparse Passenger Reports
by: Anno, Soto, et al.
Published: (2024)

Modality as Heterogeneity: Node Splitting and Graph Rewiring for Multimodal Graph Learning
by: Zhang, Yihan, et al.
Published: (2026)

Adaptive Informed Deep Neural Networks for Power Flow Analysis
by: Kaseb, Zeynab, et al.
Published: (2024)

Inequality in Congestion Games with Learning Agents
by: Michailidis, Dimitris, et al.
Published: (2026)

VeriHGN: Heterogeneous Graph-Based Congestion Prediction for Chip Layout Verification
by: Hu, Runbang, et al.
Published: (2026)

Identifying Best Candidates for Busbar Splitting
by: Bastianel, Giacomo, et al.
Published: (2025)

Temporal-IRL: Modeling Port Congestion and Berth Scheduling with Inverse Reinforcement Learning
by: Li, Guo, et al.
Published: (2025)

LSTM-Based Proactive Congestion Management for Internet of Vehicle Networks
by: Abdalla, Aly Sabri, et al.
Published: (2024)

Efficient and Transferable Agentic Knowledge Graph RAG via Reinforcement Learning
by: Lin, Junhong, et al.
Published: (2025)

Human-in-the-loop Learning for Dynamic Congestion Games
by: Li, Hongbo, et al.
Published: (2024)

Impact of Lead Time on Aggregate EV Flexibility for Congestion Management Services
by: Panda, Nanda Kishor, et al.
Published: (2025)

Optimizing Split Points for Error-Resilient SplitFed Learning
by: Shiranthika, Chamani, et al.
Published: (2024)

Decoupled Split Learning via Auxiliary Loss
by: Zihad, Anower, et al.
Published: (2026)

Transferable Delay-Aware Reinforcement Learning via Implicit Causal Graph Modeling
by: Zhao, Chenran, et al.
Published: (2026)

EV2Gym: A Flexible V2G Simulator for EV Smart Charging Research and Benchmarking
by: Orfanoudakis, Stavros, et al.
Published: (2024)

To Analyze and Regulate Human-in-the-loop Learning for Congestion Games
by: Li, Hongbo, et al.
Published: (2025)

Graph Pruning Based Spatial and Temporal Graph Convolutional Network with Transfer Learning for Traffic Prediction
by: Jing, Zihao
Published: (2024)

Reinforcement Learning for Adaptive Traffic Signal Control: Turn-Based and Time-Based Approaches to Reduce Congestion
by: Rafique, Muhammad Tahir, et al.
Published: (2024)

Multi-Agent Transfer Learning via Temporal Contrastive Learning
by: Zeng, Weihao, et al.
Published: (2024)

Cooperative Advisory Residual Policies for Congestion Mitigation
by: Hasan, Aamir, et al.
Published: (2024)

GraphBridge: Towards Arbitrary Transfer Learning in GNNs
by: Ju, Li, et al.
Published: (2025)

Prompt-Based Spatio-Temporal Graph Transfer Learning
by: Hu, Junfeng, et al.
Published: (2024)

Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs
by: Fuhrer, Benjamin, et al.
Published: (2022)

OrderFusion: Encoding Orderbook for End-to-End Probabilistic Intraday Electricity Price Forecasting
by: Yu, Runyao, et al.
Published: (2025)

Generation, Evaluation, and Explanation of Novelists' Styles with Single-Token Prompts
by: Rezaei, Mosab, et al.
Published: (2025)

Learning How to Remember: A Meta-Cognitive Management Method for Structured and Transferable Agent Memory
by: Liang, Sirui, et al.
Published: (2026)

Graph Attention-based Adaptive Transfer Learning for Link Prediction
by: Lu, Huashen, et al.
Published: (2025)

Scalable Graph Self-Supervised Learning
by: Pasand, Ali Saheb, et al.
Published: (2024)

A Deep Reinforcement Learning Approach to Battery Management in Dairy Farming via Proximal Policy Optimization
by: Ali, Nawazish, et al.
Published: (2024)