AI for Sustainable Energy Systems and Green AI

The two-day workshop hosted in Brdo Estate, Brdo pri Kranju, Slovenia focused on how AI can support sustainable energy systems while minimizing its own environmental impact. Topics include AI-driven energy modelling, smart grid management, resource-efficient machine learning, and green generative models.

Artificial Intelligence (AI) is increasingly used for modelling, both for the purpose of understanding certain phenomena and as well as for design and development in engineering. Among other things, AI has been successfully used for creating, improving, and controlling energy systems, and for understanding their roles in socio-technical systems. With approaches such as AI-based design, surrogate modeling for digital twins, and data-driven modeling of large-scale interactions between energy systems and individuals, AI has contributed to more sustainable energy conversion and transmission. At the same time, the computational cost of AI – most notably of large foundational models for generative AI – has risen substantially. There is thus a growing need and wider recognition that AI systems must, like all systems, be designed considering their environmental costs during development (training costs) and deployment (inference costs).

Learn more: https://www.enfield-project.eu/ws_ai_sustainable_and_green