1 citations · 1 across the 2 of their papers we have counts for
2 papers
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…
eess.SY2024★ 1 cited
High-Spatial Resolution Transmission and Storage Expansion Planning for High Renewable Grids: A Case Study
Kevin Wu, Rabab Haider, Pascal Van Hentenryck
Transmission Expansion Planning (TEP) is the process of optimizing the development and upgrade of the power grid to ensure reliable, efficient, and cost-effective electricity deliv…