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
THESIS: Coordinated planning for renewable smart energy systems – how strategic energy planning could help meet local and national goals PhD defence: Louise Krog Jensen Denmark is in the middle of a transition towards a 100% renewable energy system, and strategic energy planning was introduced by Danish politicians in 2012. Policy makers and officials have described …
Watch or rewatch CITIES webinar – August 12, 2020. CITIES are pleased to announce that our partner – Innovationsnetværket Smart Energy – has made a great video from our webinar about digital and data-driven methods to optimize the operation of buildings and district energy systems. Watch or rewatch CITIES webinar from August 12, 2020, where …
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 …
