The aim of the research group is to develop mathematical models for Self-Monitoring, Analysis and Reporting Technologies (SMART), to let models be able to learn from the monitoring and analysis part. These adaptive models can be based on both mechanistic models (“white” model) and empiric models (“black” model) as “grey” models. The models should adapt to the way the humans are living, the humans should not adapt to the functions of a smart building. Applications within the energy consumption area and welfare technology have a lot of common research challenges in order to have a smart building.
The main disciplines are: Sensor technology, Industrial IT, System Design, Model development, and Energy technology.
SMART cooperates with other research groups at USN like “Telemark Modeling and Control Center (TMCC)” and “Kommunale helsetjenester til eldre”.
Some of the external partners are Bergen University College, Narvik University College, University of Agder (UiA), and Tiny-Mesh.
Some of the activities currently carried out by the SMART team are:
- Research on mathematical models for buildings with focus on temperature control
- Research on mathematical models for buildings optimizing on usage pattern
- Research on system design for welfare technology in buildings
- Research on “HULDRA”, an automatic assistance system for people who lives alone at home