AI in Energy
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Published Version
Date
2024-11-21
Authors
Zavodovski, Aleksandr
Gebremehdin, Alemayehu
Matta, Andrea
Kung, Antonio
Krukowski, Artur
Hovsto, Asbjorn
Mukherjee, Avishek
Zachäus, Carolin
Filipovic, Damir
Pongracz, Eva
Journal Title
Journal ISSN
Volume Title
Publisher
AIOTI – Alliance for AI, IoT and Edge Continuum Innovation
Published Version
Abstract
The rapid integration of Artificial Intelligence (AI), 5G, and upcoming 6G technologies into the energy sector signifies a transformative and long-term transitional shift towards a more sustainable and efficient future enabled by myriads of digital technologies. This paper focuses on the potential and challenges of leveraging AI across various segments of the energy landscape and stakeholders, including generation, distribution, and consumption within smart grids. Through comprehensive and dynamically evolving digital infrastructures the advanced data analytics, real-time monitoring, and predictive modelling, AI enhances the flexibility, reliability, and efficiency of energy systems. The convergence of AI and 6G technologies is particularly critical in optimising the performance of renewable energy sources, rolling out smart grid solutions to ensure grid stability, and fostering a resilient energy ecosystem. Key insights from this paper highlight the rapidly evolving role of AI in driving energy innovations, addressing challenges and policy and standardisation aspects, the ethical and cybersecurity considerations that accompany the deployment of AI solutions and technologies. The system and digital technologies stakeholders are embracing the full potential of AI to create a cleaner, smarter, and more resilient energy.
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Keywords
Artificial Intelligence (AI) , Energy sector , Energy systems , Renewable energy
Citation
Zavodovski, A., Gebremehdin, A., Matta, A., Kung, A., Krukowski, A., Hovsto, A., Mukherjee, A., Zachäus, C., Filipovic, D., Pongracz, E., Silva, F., Hamzeh Aghdam, F., Svenn, F., Etminan, G., Funk, H., Soldatos, I., Cornec, L., Al-Naday, M., Rasti, M., Samovich, N., Frigerio, N., Cerny, O., Vermesan, O., Gusmeroli, S., Atmojo, U. D., Frascolla, V. and Karagiannis, V. (2024) in Samovich, N. and Sofia, R. (eds.) AI in Energy, Release 1.0, AIOTI WG Energy. Brussels: AIOTI – Alliance for AI, IoT and Edge Continuum Innovation, 70pp. Available at: https://aioti.eu/wp-content/uploads/AIOTI-AI-in-Energy-Final.pdf ((Accessed: 18 December 2024)
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© 2024, AIOTI. All rights reserved.