Benjamin Schäfer
Scholar

Benjamin Schäfer

Google Scholar ID: mHhhUBQAAAAJ
Karlsruhe Institute of Technology
Data-driven ModellingMachine LearningEnergy SystemsExplainable AIStochastic 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
Contact
No contact links provided.
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
Resume (English only)
Co-authors
36 total
Dirk Witthaut
Dirk Witthaut
Forschungszentrum Jülich
Co-author 2
Co-author 2
Co-author 3
Co-author 3
Leonardo Rydin Gorjão
Leonardo Rydin Gorjão
Norwegian University of Life Sciences
Veit Hagenmeyer
Veit Hagenmeyer
KIT
Co-author 6
Co-author 6
Vito Latora
Vito Latora
Professor of Applied Mathematics (Chair of Complex Systems), Queen Mary University of London
Co-author 8
Co-author 8