Cucuzzella and Cao join restigious MSCA Funding for AI-Driven Low Carbon Power Systems

Michele Cucuzzella and Ming Cao from the Engineering and Technology institute of the Faculty of Science and Engineering (University of Groningen) are key contributers to the AI4Power: Artificial Intelligence for Low Carbon Power Systems project, which has been awarded funding through the Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks. As Work Package leaders, they will play a pivotal role in advancing research at the intersection of artificial intelligence and sustainable energy systems.

Project Highlights
The AI4Power project addresses the urgent need for trustworthy, explainable, and adaptable AI solutions in energy systems. As the world transitions to renewable energy, the integration of AI and machine learning is critical for power system stability and optimization. AI4Power aims to bridge this gap by:

• Developing innovative and sustainable AI-based solutions for energy system operation and control.
• Demonstrating trustworthiness and explainability to encourage wider AI adoption.
• Training doctoral candidates through a coordinated doctoral programme, equipping them with advanced research skills in both AI and energy domains.

Impact
This project will not only advance low-carbon power systems but also foster international collaboration and prepare researchers to tackle future challenges in sustainable energy.The consortium is led by the National Technical University of Athens and includes leading partners such as Imperial College, University of Southampton, University of Turku, Politecnico di Torino, Technical University of Denmark, INESC TEC, Universitat Politecnica de Catalunya.

About MSCA Doctoral Networks
MSCA Doctoral Networks implement doctoral programmes, by partnerships of universities, research institutions and infrastructures, businesses including small and medium-sized enterprises, and other socio-economic actors from different countries across Europe and beyond. These doctoral programmes have to respond to well-identified needs in various research and innovation areas, expose the researchers to the academic and non-academic sectors, and offer research training, as well as transferable skills and competences relevant for innovation and long-term employability.