Olayiwola Arowolo

Revisiting data-driven dynamic security assessment with a tabular foundation model

Olayiwola Arowolo, Maosheng Yang, Jochen Cremer

Data-driven pre-fault dynamic security assessment (DSA) rapidly evaluates the dynamic risk of credible contingencies on a power system using machine learning. Existing approaches face two limitations. First, they require a large labelled database for training, with a separate mod…Read more