Our challenge
The current situation
What do we want to achieve?
Energy optimization
We optimize energy consumption in large property portfolios by including data sets on construction, analyzing energy usage patterns, activities in the buildings, microclimate, etc. With the help of this combination of data sets that are not included in today’s property controls, more informed decisions about energy measures can be made.
Cyber security
Real estate systems can be attractive targets for attackers, which is why we are also working to build cybersecurity into our systems.
Machine learning
We work with machine learning to automatically recognize what are normal patterns in data from the properties, and what are deviations. To train our models faster, we use transfer learning, i.e. we use already trained models from similar properties and supplement the training data with a smaller amount from the current property.
Augmented reality and 3D visualization
We use augmented reality and 3D visualization to inform energy technicians about the condition of the properties, and suggest measures.
Goal
The project will be a support system where we build up an R&D collaboration between academia, property owners, energy companies and companies that can exploit the project’s results and deliver solutions. After the project, the R&D collaboration continues as a sustainable ecosystem that lives on under its own power.