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Generative Artificial Intelligence in the Energy Sector

Title data

Michaelis, Anne ; Böcking, Lars ; Schäfermeier, Bastian ; Baier, André ; Kühl, Niklas ; Körner, Marc-Fabian ; Nolting, Lars:
Generative Artificial Intelligence in the Energy Sector.
Bayreuth , 2024 . - (Bayreuther Arbeitspapiere zur Wirtschaftsinformatik ; 71 )
DOI: https://doi.org/10.15495/EPub_UBT_00007674

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
Projektgruppe WI Künstliche Intelligenz
No information
Projektgruppe WI Nachhaltiges Energiemanagement & Mobilität
No information

Further data

Item Type: Working paper, discussion paper
Keywords: Generative Künstliche Intelligenz; GenAI; Energiewirtschaft; TenneT
Institutions of the University: Faculties
Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Informatics and Human-Centered Artificial Intelligence > Chair Business Informatics and Human-Centered Artificial Intelligence - Univ.-Prof. Dr.-Ing. Niklas Kühl
Profile Fields
Profile Fields > Emerging Fields
Profile Fields > Emerging Fields > Energy Research and Energy Technology
Research Institutions
Research Institutions > Central research institutes > Research Center for AI in Science and Society
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 20 Apr 2024 21:00
Last Modified: 06 Nov 2025 09:40
URI: https://eref.uni-bayreuth.de/id/eprint/89370