compact view print

Review of LLMs Applications in Electrical Power & Energy Systems

author
Amjad, Furqan
Korõtko, Tarmo
Rosin, Argo
statement of authorship
Furqan Amjad, Tarmo Korõtko, Argo Rosin
source
IEEE Access
publisher
IEEE
journal volume number month
vol. 13
year of publication
2025
pages
p. 150951-150969 : ill
url
https://doi.org/10.1109/ACCESS.2025.3599922
https://ieeexplore.ieee.org/document/11129042
subject term
tehisintellekt
elektrivõrgud
rikked
koormus (elektrotehnika)
keelemudelid
prognostika
tarkvõrgud
taastuvenergia
elektrisüsteemid
keyword
artificial intelligence (AI)
electrical power domain
fault diagnosis
grid management
large language models (LLMs)
load forecasting
natural language processing (NLP)
power systems
predictive analytics
renewable energy integration
smart grids (SG)
transformer models
ISSN
2169-3536
notes
Bibliogr.: 58 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Engineering
Computer science
Materials science
category (sub)
Engineering. General engineering
Computer science. General computer science
Materials science. General materials science
TalTech department
Department of Electrical Power Engineering and Mechatronics
language
English
Amjad, F., Korotko, T., Rosin, A. Review of LLMs Applications in Electrical Power & Energy Systems // IEEE Access (2025) vol. 13, p. 150951-150969 : ill. https://doi.org/10.1109/ACCESS.2025.3599922 https://ieeexplore.ieee.org/document/11129042