On 23 April 2026, from 10:00 to 12:30, the seminar “Reinforcement Learning for Energy Systems: Fundamentals and Applications” will take place in the Sole-Terra Room of the EN:lab Building, Department of Energy.

The seminar will introduce the fundamentals of Reinforcement Learning (RL) and its application in energy systems and power networks. It will present the principles of RL as a tool for sequential decision-making in complex environments and discuss their application to power and energy system problems, with examples drawn from research projects. GitHub code and supporting materials will also be shared during the seminar for further study and implementation.

The seminar will be delivered by Elham Shirazi, who has been a researcher at the University of Twente since 2021. She holds a PhD in Electrical Engineering with a dissertation titled “Self-Healing of Smart Distribution Networks with PV Penetration by Distributed Control” and has conducted postdoctoral research at Katholieke Universiteit Leuven and at the Energy Department of IMEC, Belgium.

Her research focuses on energy system control through data-driven and learning-based methods, with particular attention to the integration of trustworthiness principles into artificial intelligence models for decision support in power systems.