Watch our webinar on Digitalization and AI

We have started a webinar series, presenting actual projects in the areas that we cover in our Tasks. The third one – with about 80 participants and titled Digitalization and AI for Energy Efficiency – was held on 21 January. The webinar was recorded and is now available on YouTube – just click to play!

Download the presentation slides here (soon to be added)

PROGRAMME

• Introduction to the IETS TCP
  Elin Svensson, IETS Secretariat (starts at 4:22)
• Introduction to IETS Task XVIII on Digitalization, Artificial Intelligence and Related Technologies for Energy Efficiency and GHG Emissions Reduction in Industry
  Mouloud Amazouz, Task Manager, CanmetENERGY, Natural Resources Canada (starts at 10:15)
• Project presentations, moderated by Heike Brügger:
  • Foundation Models in the Energy Sector: Integration Potential and Challenges
    Mehrzad Lavassani, RISE Research Institutes of Sweden (starts at 18:18)
    Foundation Models (FMs) is a new class of Artificial Intelligence that learns general-purpose representations that create unique opportunities in various energy use cases and applications. This presentation provides an overview of a recent study on the assessment of FMs.
  • Towards Autonomous Industrial Operations: Causal and Multi-Agent RL for Supervisory Control of Energy-Intensive Processes
    Karim Nadim and Ahmed Ragab, CanmetENERGY, Natural Resources Canada (starts at 43:58)
  • KI4ETA
    Heiko Ranzau, Etalytics, Germany (starts at 1.12:15)
    The goal of the KI4ETA project is to develop tools that help energy managers and consultancies close the energy efficiency gap in industry.
  • DECODE – Data-driven best practice for energy-efficient operation of industrial processes 
    Zhipeng Michael Ma, PhD, Postdoctoral Researcher, SDU Center for Energy Informatics, University of Southern Denmark  (starts at 1:38:40)
  • DECODE develops data-driven methods and digital tools to optimize industrial process operation, improving energy efficiency and reducing CO₂ emissions through advanced analytics, modelling, and decision support.