Scholar
Maximilian Beichter
Google Scholar ID: xaBBAXUAAAAJ
Karlsruher Institut für Technologie
Citations & Impact
Citations
85
H-index
5
i10-index
2
Publications
19
Co-authors
10
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Publications:
- 1. Probabilistic Day-Ahead Battery Scheduling based on Mixed Random Variables for Enhanced Grid Operation
- 2. Dynamic Phenotype Mapping in Evolutionary Algorithms for Energy Hub Scheduling
- 3. EAP4EMSIG – enhancing event-driven microscopy for microfluidic single-cell analysis
- 4. On autoregressive deep learning models for day-ahead wind power forecasts with irregular shutdowns due to redispatching
- 5. Decision-focused fine-tuning of time series foundation models for dispatchable feeder optimization
- 6. Federated reinforcement learning for sustainable and cost-efficient energy management
- 7. BEOP: A Framework Enabling Validation of Realworld Energy Management Systems
Research Experience
- Position: Researcher
- Team: Machine Learning for Time Series and Images (ML4TIME)
- Projects: Involved in multiple projects related to energy management and optimization
Education
- Degree: M.Sc
- University: Karlsruher Institut für Technologie (KIT)
- Field: Automated Image and Data Analysis
Background
- Research interests include automated image and data analysis, machine learning for time series and images.
