Henrik Madsen

Henrik Madsen is a Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). His work focuses on energy systems, stochastic processes, and mathematical modeling. He leads research in areas such as demand response in district heating, probabilistic forecasting, and integration of renewable energy sources. Madsen has supervised multiple PhD students and contributes to projects like the IEA DHC Annex TS9 and SEEDS initiative. His expertise includes statistical analysis, time series modeling, and data-driven approaches for energy systems. He actively engages in collaborative research on smart grids, thermal energy storage, and sustainable energy solutions.

Education: Academic qualifications from DTU, though specific details are not provided in the text.

Research Interests:

• Mathematical modeling of energy systems
• Probabilistic forecasting methodologies
• Integration of wind and solar power
• Dynamic modeling for district heating
• Data assimilation in hydrological systems
• Optimization of energy flexibility

Publications & Trends: Recent works emphasize demand response strategies, district heating optimization, and machine learning tools like the nabqr Python package and evalprob4cast R package. His research bridges theoretical stochastic methods with practical applications in energy infrastructure.

Grants & Projects:

• IEA DHC Annex TS9: Digitalization of district heating
• SEEDS: RES-integrated electrified heating systems
• Data-Driven Methods for Demand-Side Flexibility

Labs/Teams: Collaborates with DTU's Dynamical Systems group and participates in interdisciplinary initiatives like the Frigg 2.0 energy system analysis framework.