TY - BOOK
T1 - AI in Energy
AU - Zavodovski, Aleksandr
AU - Gebremehdin, Alemayehu
AU - Matta, Andrea
AU - Kung, Antonio
AU - Krukowski, Artur
AU - Hovstø, Asbjørn
AU - Mukherjee, Avishek
AU - Zachäus, Carolin
AU - Filipovic, Damir
AU - Pongracz, Eva
AU - Silva, Fabio
AU - Aghdam, Farid Hamzeh
AU - Svenn, Flemming
AU - Etminan, Ghazal
AU - Funk, Hannah
AU - Soldatos, Ioannis
AU - Cornec, Léo
AU - AL-Naday, Mays
AU - Rasti, Mehdi
AU - Samovich, Natalie
AU - Frigerio, Nicla
AU - Cerny, Ondrej
AU - Vermesan, Ovidiu
AU - Gusmeroli, Sergio
AU - Dwi Atmojo, Udayanto
AU - Frascolla, Valerio
AU - Karagiannis, Vasileios
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
UR - https://aioti.eu/aioti-paper-ai-in-energy/
M3 - Report
BT - AI in Energy
ER -
