Lars Nordström

Lars Nordström is a Professor at the Division of Electric Power and Energy Systems within KTH Royal Institute of Technology, Stockholm, Sweden. His work bridges control systems, communication networks, and power systems, with a focus on future architectures, functionality, and quality aspects of ICT for power grid operations. He has led initiatives such as the Swedish Centre of Electric Power Engineering and served as Thematic Leader for Smartgrids in KIC InnoEnergy. In 2014, he was a Visiting Professor at Washington State University.

• Education: Ph.D., MSc.EE

Nordström's research explores the intersection of smart grids, machine learning, and cybersecurity for power systems. Key areas include:

• Wide-Area Monitoring and Control (WAMC) systems
• Decentralized control strategies for DC microgrids
• Impedance modeling using neural networks
• Data-driven methods for islanding detection
• ICT reliability and protocol design for grid operations

His recent publications emphasize machine learning applications in power systems, including LSTM networks for EV charging management, graph attention networks for stability monitoring, and digital twin approaches for cyber-attack mitigation. These works span disciplines such as Smart Grids, Power Electronics, and Data Science.

Scientific Recognitions:

• Senior Member, IEEE
• Senior Member, CIRED
• Senior Member, Cigre
• Past Chairman, Swedish IEC TC57 Mirror Committee

Nordström actively teaches and examines graduate courses like Communication and Control in Electric Power Systems and Computer Applications and Machine Learning in Electric Power Systems. His work influences industry practices through collaborations on digital substations, energy market analysis, and resilience strategies.