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 description and insights into the project is coming soon.
The solution software for Model Predictive Control (HPMPC) is a toolbox for High-Performance implementation of solvers for Model Predictive Control (MPC). 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. The software is available on GitHub.
Last week DTU held the summer school TIME SERIES ANALYSIS – with a focus on modelling and forecasting in energy systems. 44 PhD students and postdocs mainly from universities in Europe have spent a week at DTU Compute to learn about smart energy systems and intelligent energy savings. The summer school was arranged by the …
One of CITIES’ demo projects is to develop an optimization method for the combined heat and power production planning in district heating systems and apply it to a real-world demo-case. The idea is to improve bids for selling and buying electricity in power markets- and in the end to automate the bidding. Assistant Professor Daniela Guericke, …