2 papers
cs.LG2026
Hierarchical GNNs for power flow: letting physics shape the hierarchy
Carmine Delle Femine, Leire Garin Atxaga, Asier Diaz-Iglesias +5
Hierarchical latent communication improves the generalization of a power-flow model, shared across three grids, to new operating scenarios. The module exchanges information through…
cs.LG2025
Short-Term Power Demand Forecasting for Diverse Consumer Types to Enhance Grid Planning and Synchronisation
Asier Diaz-Iglesias, Xabier Belaunzaran, Ane M. Florez-Tapia
Ensuring grid stability in the transition to renewable energy sources requires accurate power demand forecasting. This study addresses the need for precise forecasting by different…