Scholar
Benjamin Schäfer
Google Scholar ID: mHhhUBQAAAAJ
Karlsruhe Institute of Technology
Citations & Impact
Citations
1,978
H-index
24
i10-index
35
Publications
20
Co-authors
36
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers on the analysis of energy systems, including presentations at ACM e-energy, ICLR, and NeurIPS workshops. Research areas include quantifying system stability, forecasting high-resolution time series, and identifying power grid dynamics purely from data.
Research Experience
- Currently an Assistant Professor leading a group at Karlsruhe Institute of Technology (KIT) on Data-driven analysis of complex systems (DRACOS). The goal is to understand complex energy systems from a data-driven perspective, with a special emphasis on transparency and explainability in any forecast or analysis.
Education
- No specific educational background information provided.
Background
- A Physicist turned Data Scientist, contributing to society by supporting the energy transition through data-driven approaches. His research focuses on using interpretable machine learning to understand, predict, and design future energy systems.
Miscellany
- Interested in applying data science to real-world problems, particularly those related to climate change.
