AI in Energy

Simple item page
dc.contributor.authorZavodovski, Aleksandren
dc.contributor.authorGebremehdin, Alemayehuen
dc.contributor.authorMatta, Andreaen
dc.contributor.authorKung, Antonioen
dc.contributor.authorKrukowski, Arturen
dc.contributor.authorHovsto, Asbjornen
dc.contributor.authorMukherjee, Avisheken
dc.contributor.authorZachäus, Carolinen
dc.contributor.authorFilipovic, Damiren
dc.contributor.authorPongracz, Evaen
dc.contributor.authorSilva, Fabioen
dc.contributor.authorHamzeh Aghdam, Fariden
dc.contributor.authorSvenn, Flemmingen
dc.contributor.authorEtminan, Ghazalen
dc.contributor.authorFunk, Hannahen
dc.contributor.authorSoldatos, Ioannisen
dc.contributor.authorCornec, Léoen
dc.contributor.authorAl-Naday, Maysen
dc.contributor.authorRasti, Mehdien
dc.contributor.authorSamovich, Natalieen
dc.contributor.authorFrigerio, Niclaen
dc.contributor.authorCerny, Ondrejen
dc.contributor.authorVermesan, Ovidiuen
dc.contributor.authorGusmeroli, Sergioen
dc.contributor.authorAtmojo, Udayanto Dwien
dc.contributor.authorFrascolla, Valerioen
dc.contributor.authorKaragiannis, Vasileiosen
dc.contributor.editorSamovich , Natalieen
dc.contributor.editorSofia, Ruteen
dc.date.accessioned2024-12-18T11:58:20Z
dc.date.available2024-12-18T11:58:20Z
dc.date.issued2024-11-21en
dc.description.abstractThe 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.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationZavodovski, 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)en
dc.identifier.endpage70en
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/16733
dc.language.isoenen
dc.publisherAIOTI – Alliance for AI, IoT and Edge Continuum Innovationen
dc.relation.urihttps://aioti.eu/wp-content/uploads/AIOTI-AI-in-Energy-Final.pdfen
dc.rights© 2024, AIOTI. All rights reserved.en
dc.subjectArtificial Intelligence (AI)en
dc.subjectEnergy sectoren
dc.subjectEnergy systemsen
dc.subjectRenewable energyen
dc.titleAI in Energyen
dc.typeReporten
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
AIOTI AI in Energy Final.pdf
Size:
2.24 MB
Format:
Adobe Portable Document Format
Description:
Published Version
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Tyndall National Institute - Reports