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PhD Candidate

Sven Oxalic

Through studying and working with energy efficiency in buildings for the last decade, Sven Opalic has been trying to find tools that would allow large scale implementation of energy efficiency measures in buildings. To achieve this he believes the key lies within the optimization of energy efficient building management through intelligent building automation. This is very time consuming work for humans, but could potentially be solved much more efficiently through the use of machine learning and artificial intelligence. 


Sven completed his BSc in energy technology in 2009, followed by a MSc in technology management in 2011. He is now an Industrial PhD candidate at the University of Agder backed by Login Eiendom and his employer Evotek. 


His area of research is prediction and optimization of energy use and storage in technically complex buildings with the use of Deep Learning techniques.

t: +47 99590786