CITIES Innovation Center conduct projects on cloud-based solutions for research of energy data. All project are designed to handle the intelligent IT solutions of the center. These include three layers: a repository, a computational and an operation layer. Together the three are constituting the overall IT infrastructure of CITIES Innovation Center.
The data repository (SE-Data), manages the collection and management of data. The computation layer Smart Energy Analytics (SE-Analytics ) is handling the computation tasks, analytics and many other tasks. The smart energy operation system (SE-OS) enables the interplay of various energy supply systems.
An in-depth description of the solution is coming soon.
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 …
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.
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, …
