Maria Andersson

Associate Professor

I do research on energy efficiency and learning systems with AI. The applications are about using AI to find new opportunities for efficiency in industrial energy systems and improved forecasting for electricity production in hydro power plants.

Publications

2026

Vlatko Milić, Patrik Thollander, Maria Andersson, Jim Enkel, Bahram Moshfegh (2026)

Pursuing a hierarchical taxonomy in a water-cooled data center room Scientific Reports, Vol. 16, Article 26484 (Article in journal)

https://dx.doi.org/10.1038/s41598-026-68222-1

Malin Grönberg, Therese Nehler, Lina La Fleur, Maria Andersson, Patrik Thollander (2026)

Bridging the energy efficiency gaps: Lessons from the Swedish PFE programmes Energy Efficiency, Vol. 19, Article 13 (Article in journal)

https://dx.doi.org/10.1007/s12053-025-10410-5

2025

Linus Kåge, Vlatko Milic, Maria Andersson, Magnus Wallén (2025)

Reinforcement learning applications in water resource management: a systematic literature review Frontiers in Water, Vol. 7, Article 1537868 (Article in journal)

https://dx.doi.org/10.3389/frwa.2025.1537868

2024

Vlatko Milić, Maria Andersson, Linus Kåge, Patrik Thollander, Jim Enkel, Bahram Moshfegh (2024)

Detection of Cooling Operational Statuses in Data Center Energy Management using Clustering Algorithms 2024 23rd IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm) (Conference paper)

https://dx.doi.org/10.1109/itherm55375.2024.10709422

Linus Kåge, Vlatko Milić, Maria Andersson, Magnus Wallén (2024)

Hourly Hydropower Production Forecasting with Machine Learning: A Case Study in Linköping, Sweden Proceedings of the 10th World Congress on New Technologies (NewTech'24) (Conference paper)

https://dx.doi.org/10.11159/icert24.102

Research

En flygbild av en bro över ett vattendrag.

Hydröms Hydropower East Middle Sweden

Hydropower is vital to future energy systems. This project develops AI-based decision support tools to improve water regulation, increase electricity generation, reduce water spillage and strengthen energy system resilience.

Excellent energy management using AI - XEMAI

The project aims to enhance digitalisation within the manufacturing industry to improve energy efficiency and achieve sustainability.

Resilience in the future electricity system

The Swedish electricity system is facing major changes. New research has begun at LiU which focuses on resilience in the future electricity system. The project can provide insights into how the resilience of the electricity system can be improved.

Organisation

Energy Systems (ENSYS)

The division of Energy Systems is involved in research, undergraduate and graduate education and collaboration with industry and public sector organisations in the field of energy.

Department of Management and Engineering (IEI)

The Department of Management and Engineering (IEI) strengthens and develops tomorrow’s industry, business world and society by ground-breaking research, education and innovation.

Studenthuset on Campus Valla in Linköping

About LiU

Linköping University, LiU, offers innovative education and boundary-crossing research. The students are among the most desirable in the labour market and international rankings consistently place LiU as a leading global university.