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 2035 and of becoming fully independent of fossil fuels on a net annual basis by 2050. Such targets can only be met with a strong policy making, not only on a national level but also on more local administration levels. Most municipalities in Denmark have established their own vision and targets for making their energy systems more sustainable. Among these is the municipality of Sønderborg
in Southern Denmark, which is used as a case in this solution project.
Further description and insights into the project is coming soon.
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
Smart Meter Data Analytics is a solution project aiming to investigate data mining of smart meter electricity consumption data in order to improve forecasting and money-saving opportunities for customers. The aim of the solution on Smart meter data analytics, is to gather socioeconomic, demographic and weather data and insight into the profiles and classifications of …
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 …
