4 papers
Topology-Aware Spatio-Temporal Graph Transformer for Predicting Smart Grid Failures
Anh Le, Phat K. Huynh, Om P. Yadav +3
Smart grid infrastructure needs improved resilience and preventive maintenance through more accurate predictions. Current methodologies lack accurate representation of spatio-tempo…
Multilayer GNN for Predictive Maintenance and Clustering in Power Grids
Muhammad Kazim, Harun Pirim, Chau Le +2
Unplanned power outages cost the US economy over $150 billion annually, partly due to predictive maintenance (PdM) models that overlook spatial, temporal, and causal dependencies i…
Link Prediction and Navigability of Multiplex Energy Networks
Muhammad Kazim, Harun Pirim, Chau Le +2
In modern energy networks, where operational efficiency and resilience are critical, this study introduces an in-depth analysis from a multiplex network perspective - defined as a…
Multi-Scale Temporal Analysis for Failure Prediction in Energy Systems
Anh Le, Phat K. Huynh, Om P. Yadav +3
Many existing models struggle to predict nonlinear behavior during extreme weather conditions. This study proposes a multi-scale temporal analysis for failure prediction in energy…