Photo of Vlatko Milic

Vlatko Milic

Assistant Professor

I am passionate about developing energy system solutions that are both cost-effective and sustainable. Working with these questions is central to my role as researcher and teacher. My goal is to disseminate knowledge for a more sustainable future. 

Digitisation, AI and energy efficiency

I am a postdoc at the Division of Energy Systems. The energy savings potential in Swedish buildings built before 1945 was topic of my doctoral thesis.

My PhD thesis focused on the techno-economic energy renovation of residential areas built before 1945. During my research studies, I used a range of different methods, such as simulation of buildings energy, life cycle cost optimisation and the development of power signatures to calculate the energy performance of buildings.

Today, I mainly work with digitisation and AI for the energy efficiency of data centers and control of hydro power plants. I also conduct research in energy-efficient climate control of greenhouses.

In addition to my research, I teach from undergraduate to graduate level.



Vlatko Milić, Patrik Rohdin (2024) Exploring the effects of a warmer climate on power and energy demand in multi-family buildings in a Nordic climate Environmental Advances, Vol. 15, p. 100502-100502, Article 100502 Continue to DOI


Vlatko Milic, Patrik Rohdin (2023) Screening of thermal characteristics and assessment of comparative energy efficiency potential in a residential district Advances in Building Energy Research, Vol. 17, p. 255-276 Continue to DOI
Vlatko Milic, Linus Kåge, Maria Andersson, Jim Enkel, Bahram Moshfegh (2023) AI-Assisted Characterization of Cooling Patterns in a Water-Cooled ICT Room 2023 29th International Workshop on Thermal Investigations of ICs and Systems (THERMINIC), p. 1-5 Continue to DOI


Vlatko Milic (2021) A techno-economic system approach for the energy renovation of residential districts built before 1945
Vlatko Milic, Patrik Rohdin, Bahram Moshfegh (2021) Further development of the change-point model - Differentiating thermal power characteristics for a residential district in a cold climate Energy and Buildings, Vol. 231, Article 110639 Continue to DOI