5 citations · 5 across the 2 of their papers we have counts for
2 papers
eess.SY2026
Impact of Training Dataset Size for ML Load Flow Surrogates
Timon Conrad, Changhun Kim, Johann Jäger +2
Efficient and accurate load flow calculations are a bedrock of modern power system operation. Classical numerical methods such as the Newton-Raphson algorithm provide highly precis…
cs.LG2023★ 5 cited
Neural parameter calibration and uncertainty quantification for epidemic forecasting
Thomas Gaskin, Tim Conrad, Grigorios A. Pavliotis +1
The recent COVID-19 pandemic has thrown the importance of accurately forecasting contagion dynamics and learning infection parameters into sharp focus. At the same time, effective…