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CITIES Data Management System

One of the systemic cornerstones of CITIES Innovation Center is the CITIES Data Management system. The system includes an administration interface, a web-based data processing and algorithm implementations, various analytics results visualization and embed charts in a web page. An in-depth description of the system is coming soon. In the meantime, please read more here

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Smart Cities Accelerator

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 …

Energy Plan

EnergyPLAN is a model developed to analyse the energy, environmental, and economic impact of various energy strategies. The key objective is to model a variety of options to compare with one another, rather than model one ‘optimum’ solution based on defined preconditions. Using this methodology, it is possible to illustrate a palette of options for …

Energy supply modelling in cities

The project on energy supply modelling in cities aim to develop, model and evaluate scenarious of cities in order to increase efficiency and integration of systems while at the same time minimizing CO2 emissions and socioeconomic costs. Denmark has established the target of becoming independent of fossil fuels in the electricity and heating sectors by …

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Energy Plan

EnergyPLAN is a model developed to analyse the energy, environmental, and economic impact of various energy strategies. The key objective is to model a variety of options to compare with one another, rather than model one ‘optimum’ solution based on defined preconditions. Using this methodology, it is possible to illustrate a palette of options for …

Continuous Time Stochastic Modelling

 The project on continuous time stochastic modelling (CTSM) is very useful for grey-box modelling of physical systems using data. The grey-box modelling approach bridges the gap between physical and statistical modelling. The solution is widely used for estimating and identifying models for physical systems, like the heat dynamics of a building, the hydraulics in a …