ESUDA-Energy savings through smart use of data

The project aims to develop innovations to analyse the energy demand of buildings under different circumstances by using historical data taking into account weather conditions, building information and the use of the building. This data is used to predict future energy needs in buildings, to balance energy needs between buildings, and to reduce total energy consumption.

We have a lack of systems/products/services that enable optimization of energy use in society. Large property portfolios have an unnecessarily high energy consumption, there are also no good tools to balance the consumption between properties, which leads to the power requirement being higher than it could be with efficient tools.

We want to establish an innovation environment for digital transformation in society regarding reduced energy use. We demonstrate the possibilities of artificial intelligence and machine learning methods (AI/ML) for the digital development, in this project specifically towards building automation, but the insight gained in the public sector and industry is also expected to contribute to its use in other areas.