Green AI and Energy Systems – 1st Green AI webinar of ENFIELD
Date: November 26, 2025, 9:30-12:20 CET
Location: Online
Join us on November 26th for a webinar on cutting-edge research on sustainable and energy-efficient AI systems, with a particular focus on application of AI in the energy sector. The session brings together researchers and practitioners to discuss methods for reducing AI’s environmental impact while leveraging AI for energy optimization.
This webinar is part of the 2nd Energy & Green AI Workshop organized by the ENFIELD project. It addresses the intersection of AI efficiency and energy system optimization, exploring how to make AI technologies more sustainable while using them to drive the green transition.
Participation is FREE.
A Teams-link will be provided to registered participants on the day before the event.
Target audience
The target audience for this webinar includes researchers, practitioners, and professionals in AI, energy systems, and sustainability, as well as academics and students interested in the intersection of AI and energy optimization. Industry stakeholders exploring AI for energy efficiency and policy-makers focused on sustainable technologies will also benefit from the session.
Speakers
AI Research Associate at TU Dortmund University / Lamarr Institute
Professor and Head of Computer Engineering Department,
at Ozyegin University
AI Research Scientist at Telenor.
Beneficiary of ENFIELD’s Third-Party Exchange Scheme 3rd Open Call.
R&T project manager at PREDICT
Research Scientist at SINTEF Digital’s Trustworthy Green IoT Software group
Program
This webinar features a series of talks focused on the latest advancements and challenges in sustainable AI systems, with a particular emphasis on optimizing energy efficiency and reducing AI’s environmental impact. The session brings together international experts to discuss innovative approaches, from labelling and meta-learning to energy management using AI. Below is the detailed schedule of presentations and discussions:
| 10:00-10:10 | Introduction |
| 10:10-10:40 | Advancing AI Sustainability via Labelling and Meta-Learning Raphael Fischer (TU Dortmund) |
| 10:40-11:00 | Life cycle analysis of AI operations – Review Jeriek Van den Abeele (Telenor) |
| 11:00-11:20 | Physics-informed Bayesian optimization — Where should the physics go? Bernd Schuscha (TES Beneficiary @KNOW) and Leila Belmehrnia (PREDICT) |
| 11:20-11:40 | Smart meter anomaly detection Erik Johannes Husom (SINTEF) |
| 11:40-12:00 | Smart and real-time framework for ship energy management using an AI-based approach Leila Belmehrnia (PREDICT) |
| 12:00-12:20 | Energy and of LLMs for SE Hasan Sözer (Özyeğin University) |
Check the ENFIELD previous webinars: