معرفی
Professor Dr. Stephan Schlüter leads the Research Group for Applied Mathematics for Energy Markets at THU (Technische Hochschule Ulm). His expertise spans multivariate time series analysis, statistical modelling of energy commodities, and forecasting renewable energy systems.
- Co-Editor, Spatial Information Research
- Teaching: Advanced Mathematics, Operations Research, Stochastics, Applied Time Series Analysis
Research focuses on:
- Electricity and gas price forecasting using neural networks and Bayesian models
- Climate anomaly detection via satellite data and AI
- Energy market optimization with battery storage and hydrogen integration
- Environmental statistics linking CO2 fluxes with economic indicators
Recent publications emphasize regime-aware forecasting, uncertainty quantification, and interdisciplinary climate-energy policy analysis. Supervising PhD candidates Abhinav Das and Erick Michel Lara Pinal, plus Master's students Martin Neumann and Andreas Lebedev.
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