Section for Dynamical Systems
The section performs research within a broad range of areas within dynamical systems – from energy systems to aerodynamics – including modelling, forecasting, optimization, and controlling in both deterministic and stochastic systems.
We use dynamical systems mathematics to describe phenomena such as chemical reactions, neural signal patterns, robot movements, energy systems, planetary kinematics, and smart cities. By applying these techniques, we simplify complex equations, making large-scale problems manageable and enhancing our understanding of intricate structures.
Our section's mission is to conduct comprehensive research on dynamical systems, covering deterministic and stochastic systems, discrete and continuous systems, and various model-building, forecasting, control, and optimization methods. Our research ranges from foundational work in statistical forecasting, spatial and temporal process modeling, and time series analysis to applied research in wind and solar power forecasting, electricity price prediction, and district heating system modeling and forecasting.
