18 citations · 18 across the 4 of their papers we have counts for
3 papers · 1 filter
MxGPS: Multiplex Graph Transformers for a Power Grid Foundation Model
Charilaos Papaioannou, Ioannis Tsantilas, Dimitris Giannakakos +9
Single-task fine-tuning of graph neural networks (GNNs) for power grid problems exhibits a systematic failure mode: models that achieve the lowest in-distribution error degrade the…
Unified machine learning tasks and datasets for enhancing renewable energy
Arsam Aryandoust, Thomas Rigoni, Francesco di Stefano +1
Multi-tasking machine learning (ML) models exhibit prediction abilities in domains with little to no training data available (few-shot and zero-shot learning). Over-parameterized M…
Enhanced spatio-temporal electric load forecasts using less data with active deep learning
Arsam Aryandoust, Anthony Patt, Stefan Pfenninger
An effective way to oppose global warming and mitigate climate change is to electrify our energy sectors and supply their electric power from renewable wind and solar. Spatio-tempo…