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
Smart Cities Accelerator is a project involving cloud-based solutions, data analytics and the foremost knowhow on integration of energy systems. The project is an inter regional collaboration of actors around Øresund including: Copenhagen, Malmö and Lund University, the municipalities of Copenhagen, Høje-Taastrup and Lund, as well as Høje Taastrup district heating and many more. Further …
The project solution on cloud-based solutions for forecasting is intertwined with research on data analytics, energy systems integration, markets and smart buildings. Further description and insights into the project is coming soon. In the meantime please read more here
The solution “Energy demand modeling in buildings” offers methodologies for the modeling of energy demand and flexibility potentials for whole districts and cities. It includes a tool for bottom-up classification of buildings in a given area into certain types, which can be sum up and modeled by aggregation to ensure higher energy flexibility.
