14 citations · 17 across the 4 of their papers we have counts for
5 papers
Exploring the impact of adaptive rewiring in Graph Neural Networks
Charlotte Cambier van Nooten, Christos Aronis, Yuliya Shapovalova +1
This paper explores sparsification methods as a form of regularization in Graph Neural Networks (GNNs) to address high memory usage and computational costs in large-scale graph app…
Graph Neural Networks for Transmission Grid Topology Control: Busbar Information Asymmetry and Heterogeneous Representations
Matthijs de Jong, Jan Viebahn, Yuliya Shapovalova
Factors such as the proliferation of renewable energy and electrification contribute to grid congestion as a pressing problem. Topology control is an appealing method for relieving…
Imitation Learning for Intra-Day Power Grid Operation through Topology Actions
Matthijs de Jong, Jan Viebahn, Yuliya Shapovalova
Power grid operation is becoming increasingly complex due to the increase in generation of renewable energy. The recent series of Learning To Run a Power Network (L2RPN) competitio…
Acquiring Better Load Estimates by Combining Anomaly and Change Point Detection in Power Grid Time-series Measurements
Roel Bouman, Linda Schmeitz, Luco Buise +3
In this paper we present novel methodology for automatic anomaly and switch event filtering to improve load estimation in power grid systems. By leveraging unsupervised methods wit…
Graph Isomorphic Networks for Assessing Reliability of the Medium-Voltage Grid
Charlotte Cambier van Nooten, Tom van de Poll, Sonja Füllhase +3
Ensuring electricity grid reliability becomes increasingly challenging with the shift towards renewable energy and declining conventional capacities. Distribution System Operators…