CORTEXA
← Browse

Jochen L. Cremer

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…

View free PDFSource page
openalexAdvanced Engineering Informatics2026-07-23

A market-rule-informed neural network for efficient imbalance electricity price forecasting

Runyao Yu, Julia Lin, Derek W. Bunn, Jochen Stiasny, Wentao Wang, Yuehua Chen, et al.

Accurate and efficient imbalance electricity price forecasting is critical for industrial energy trading in balancing markets. Battery assets and automated trading systems require forecasts with limited computational resources and near-real-time speed. The imbalance price is form…

View free PDFSource page