most citedHigh-Spatial Resolution Transmission and Storage Expansion Planning for High Renewable Grids: A Case Study

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2025

Flow-Aware GNN for Transmission Network Reconfiguration via Substation Breaker Optimization

Dekang Meng, Rabab Haider, Pascal van Hentenryck

This paper introduces OptiGridML, a machine learning framework for discrete topology optimization in power grids. The task involves selecting substation breaker configurations that…