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Benjamin Schäfer
Interpretable Machine Learning
Data-Driven Energy System Design
Complex Energy Systems Analysis
Energy Transition Modeling
About
I am a Physicist who turned into a Data Scientist to contribute to our society by supporting the energy transition via data-driven approaches.
In my research, I investigate complex energy systems, using interpretable machine learning to understand, predict and design future energy systems.
Currently, I am an Assistant Professor, leading a group at the Karlsruhe Institute of Technology (KIT) on Data-driven analysis of complex systems (DRACOS)
Research Performance Summary
2014-2026
Active Research Span
First Recorded Paper
Supply networks: Instabilities without overload
Year:
2014
Citations:
86
Venue:
The European Physical Journal Special Topics 223 (12)
Latest Recorded Paper
Predicting power grid frequency dynamics with invertible Koopman-based architectures
Year:
2026
Citations:
0
Venue:
arXiv preprint arXiv:2603.14442
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Schäfer
Witthaut
Beck
Research Impact by Period
Papers
20
Citations
25
Avg. Citations / Paper
1.2
H-Index
3
Papers
52
Citations
1227
Avg. Citations / Paper
23.6
H-Index
21
Papers
12
Citations
1279
Avg. Citations / Paper
106.6
H-Index
10
Papers
1
Citations
86
Avg. Citations / Paper
86
H-Index
1
Contact and Professional Links
Detected Research Keywords
Power Grid Frequency
Grid Frequency Fluctuations
Grid Frequency Dynamics
Explainable Artificial Intelligence
Gaussian Power Grid
Decentral Smart Grid
Smart Grid Control
Grid Frequency Stability
Frequency Stability Explainable
Stability Explainable Ai