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Olayiwola Arowolo

2 papers indexed

arxivcs.LGeess.SY2026-07-31

Assessing the Generalization of Graph Neural Networks for Fault Location Across Increasing Distributed Energy Resource Penetration Levels

Burak Karabulut, Olayiwola Arowolo, Carlo Manna, Chris Develder, Jochen L. Cremer

Accurate fault location is critical for distribution network reliability. However, increasing distributed energy resource (DER) penetration complicates fault location due to intermittent generation and bidirectional power flows that reshape fault signatures. Spatio-Temporal Graph…

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arxivcs.LGcs.AI2026-07-17

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…

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