Artificial Intelligence is rapidly transforming domains ranging from text and video applications to scientific discovery. One area where its impact is becoming both urgent and consequential is the operation and stability of critical energy infrastructure — most notably, the electrical power grid but also space applications (satellite network)

Modern power grids are undergoing a profound transformation. The large-scale integration of renewables such as wind and solar is replacing conventional generation that traditionally provided the physical inertia essential for grid stability. At the same time, the massive deployment of electric vehicle (EV) charging infrastructure introduces highly variable and hard-to-predict demand patterns. Together, these trends are pushing power systems closer to their operational limits and demanding new tools for monitoring, prediction at scale, and control.

Programme

Welcome (5 minutes)

Section 1 – Invited talks (45 minutes)
3 presentations introducing different perspectives on the workshop topic.

Section 2 – Panel Discussion (45 minutes)
The invited speakers will discuss key questions and challenges related to the topic, moderated by the organizers.

Speakers’ list

Remus Teodorescu, AAU Energy: Physics-informed AI for prediction and control of power flow with local edge AI inference

Torben Bach Pedersen, AAU Computer Science: Utilizing Graph Neural Networks for Massive Prescriptive Analytics Queries

Invited talk: Pinar Tozun, IT University of Copenhagen: AI in Space, deploying ML pipelines in cubesat-based satellites.

Level

Intermediate: For attendees who have basic understanding or some experience with the subject but are not yet advanced.

Organizers

• Remus Teodorescu, AAU Energy, ret@energy.aau.dk – (Lead organizer)
• Torben Pedersen, AAU Computer Science, tbp@cs.aau.dk