The tool contains routines for fast solution of MPC and MHE (Moving Horizon Estimation) problems on embedded hardware.
Further description and insights into the project is coming soon.
Henrik Madsen
Professor for Applied Mathematics and Computer Science, Center Manger of CITIES Research Project at DTU Compute
The project on continuous time stochastic modelling (CTSM) is very useful for grey-box modelling of physical systems using data. The grey-box modelling approach bridges the gap between physical and statistical modelling. The solution is widely used for estimating and identifying models for physical systems, like the heat dynamics of a building, the hydraulics in a …
The solution “Smart Temperature Control of Greenhouses” is a tool developed to model and control the district heating supply temperature for industrial bio-organic production facilities. Greenhouses are consuming a vast amounts of energy for the production of bio-organics. For this purpose they also need a very specific temperature to ensure ideal growth conditions for …
Everyone talks about AI and machine learning, but a demo project with a water tower shows that a model with stochastic differential equations can describe energy flexibility surprisingly well with just a few intuitive parameters. If the CO2 emission is to be reduced, the proportion of renewable energy sources must be significantly increased. If at …
