3 papers
cs.LG2026
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…
eess.SY2023
Modelling and Optimization Based Control for Demand Response in Active Distribution Networks
Arsam Aryandoust
We explore how Demand Response (DR) can effectively provide electricity system services such as for the management of bi-directional power flows and the control of voltage deviatio…
cs.LG2023
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…