2 papers
stat.ME2024
Robust Bayesian causal estimation for causal inference in medical diagnosis
Tathagata Basu, Matthias C. M. Troffaes
Causal effect estimation is a critical task in statistical learning that aims to find the causal effect on subjects by identifying causal links between a number of predictor (or, e…
eess.SY2024
Inclusion of Frequency Nadir constraint in the Unit Commitment Problem of Small Power Systems Using Machine Learning
Mohammad Rajabdorri, Behzad Kazemtabrizi, Matthias Troffaes +2
As the intention is to reduce the amount of thermal generation and to increase the share of clean energy, power systems are increasingly becoming susceptible to frequency instabili…