Scholar
Benjamin Schäfer
Google Scholar ID: mHhhUBQAAAAJ
Karlsruhe Institute of Technology
Data-driven Modelling
Machine Learning
Energy Systems
Explainable AI
Stochastic Systems
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Citations & Impact
All-time
Citations
2,278
H-index
24
i10-index
35
Publications
20
Co-authors
36
list available
Publications
15 items
A Comparative Study of Graph Representations for GNN-Based Power Grid Control in L2RPN
2026
Cited
0
Deep Learning for Cross-Border Electricity Price Forecasting: A Comparative Study
2026
Cited
0
Graph Machine Learning: An Opportunity for Power Systems
2026
Cited
0
Learning to Run Power Networks: Effective AlphaZero-inspired Topological Control
2026
Cited
0
A Benchmark for Electrical Load Forecasting Across Grid Levels: Time-Series Transformers Outperform Established Methods
2026
Cited
0
Investigating Calibration Challenges in Probabilistic Electricity Price Forecasting
2026
Cited
0
Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings
2026
Cited
0
BuilDyn: Excitation-Driven Data Generation for Building Thermal Dynamics Modeling and Control
2026
Cited
0
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Co-authors
8 total
Dirk Witthaut
Forschungszentrum Jülich
Leonardo Rydin Gorjão
Norwegian University of Life Sciences
Veit Hagenmeyer
KIT
Vito Latora
Professor of Applied Mathematics (Chair of Complex Systems), Queen Mary University of London
Hankun He
UK Centre for AI in the Public Sector, Institute for Connected Communities
Ralf Mikut
Karlsruhe Institute of Technology (Germany)
Jürgen Kurths
Professor of Physics, Humboldt University Berlin
Ulrich Oberhofer
PhD student, Karlsruhe Institute of Technology
