Author

B. Schäfer

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Preprint Aug 2026

Learning to Run Power Networks: Effective AlphaZero-inspired Topological Control

This paper investigates the effectiveness of model-based AlphaZero-inspired approaches that utilize Monte Carlo Tree Search (MCTS) for proactive grid management and finds that conducting the MCTS without guidance from a prior learned policy or value function can enhance training efficiency, and that a straightforward b...

Lukas Zetto, B. Schäfer, Qiong Huang · 1 citation

#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