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
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 …
Jaume Palmer Real is a PhD student at DTU COMPUTE – Department of Applied Mathematics and Computer Science – at the Technical University of Denmark. In his YouTube-video, he tells about his PhD project: Stochastic Differential Equations (SDE) for Modeling Energy Systems Integration – and about how to use SDEs to understand energy efficiency in buildings. …
Sænkning af fremløbstemperaturen med 10 grader, markant reducering af varmetab samt fastholdelse af varmeprisen. Svebølle-Viskinge Fjernvarmeselskab udnytter de digitale muligheder. I magasinet Dansk Fjernvarme kan du læse mere om gevinsterne ved datadreven styring og visualisering i Svebølle-Viskinge Fjernvarmeselskab (m bl.a. Svend Müller). Her samarbejder DTU – Technical University of Denmark (m Henrik Madsen, Per Sieverts …
