Author

Benjamin Schäfer

2 papers indexed here

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Review Aug 2026

Graph Machine Learning: An Opportunity for Power Systems

Modern power systems face growing operational complexity driven by the integration of renewable energy sources, decentralization, and the need for real-time decision-making across a wide range of timescales. Addressing these challenges traditionally relies on model-based methods that, while accurate, can be too slow fo...

Martin Sadric, Sebastian Pütz, Christian Nauck et al. · 0 citations

#machine learning Open access Aug 2026

Deep Learning for Cross-Border Electricity Price Forecasting: A Comparative Study

A comparative evaluation of six deep learning models--covering state-space, MLP, RNN, and Transformer-based architectures--emphasizing generalization across markets suggests that N-HiTS and NBEATSx perform competitively in limited-data scenarios, while transformer-based models can reach comparable accuracy but tend to...

Hadeer El Ashhab, Sai Srijan Papineni, M. Dorn et al. · IEEE Access · 0 citations