Magnus Perninge

Magnus Perninge is an Associate Professor in Electrical Engineering at Linnaeus University (LNU), Sweden. He previously completed his undergraduate and PhD studies at KTH Royal Institute of Technology and held postdoctoral/researcher positions at Lund University. His teaching includes courses in Automatic Control (basic and advanced), Electric Power Systems, and Electrical Machines. He supervises Alexander Marcial, a doctoral student in Mathematics.

• Current Affiliation: Linnaeus University (School of Engineering & Faculty of Technology)
• Past Affiliations: KTH Royal Institute of Technology, Lund University

Research Interests: Magnus specializes in the optimal control of stochastic systems with applications in electrical energy systems. He integrates artificial intelligence and machine learning to solve large-scale optimization problems in power systems, aiming to enhance efficiency and sustainability. His work bridges stochastic analysis, operations research, and renewable energy integration.

Research Projects:

• Efficient Hydropower Planning: Optimizing Sweden's hydropower for future intermittent energy scenarios
• Sustainable Energy & Food Production: Enhancing rural farm energy systems
• Smart Electrification: Supporting SMEs in Kronoberg and Kalmar regions

Research Groups:

• AI and Machine Learning for Optimization and Operations Research
• Stochastic Analysis and Stochastic Processes
• Waves, Signals and Systems