2 papers
stat.ME2026
Efficient Bayesian calibration of many-parameter system models
Promit Chakroborty, Sankaran Mahadevan
Computer models of complex engineering systems rely on proper tuning of their model parameters to ensure accurate predictions of the system behavior. The challenge of effectively c…
eess.SY2026
DAE-Aware Bayesian Inference for Joint Generator-Network Parameter Estimation
Abdallah Alalem Albustami, Ahmad F. Taha, Sankaran Mahadevan
This paper addresses the classic problem of parameter estimation (PE) in multimachine power system models. Such models are typically described by a set of nonlinear differential-al…