Towards a Model for Assessing the Effects of Social-Cyber-Physical Threats on the Future Power Grid – Review and Workshop Results

Approved

Classifications

MinEdu publication type
A4 Article in conference proceedings (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Other article
Host publication type
Conference platform

Authors of the publication

Number of authors
9
Authors
Berg, Petra; Berlijn, Sonja Monica; Eltahawy, Bahaa; Hilber, Patrik; Karimi, Mazaher; Klepper, Karina Barnholt; Turtola, Linda; Ulshagen, Andrea; Xu, Qianwen

Publication channel information

Title of host publication
2024 International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation (AIE)
ISBN (print)
979-8-3503-6497-2
ISBN (electronic)
979-8-3503-6496-5
Name of conference
International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation (AIE)
Publisher
IEEE
Publication forum ID
5475
Publication forum level
1
Country of publication
United States
Internationality
Yes

Detailed publication information

Publication year
2024
Reporting year
2024
Page numbers
1-6
DOI
10.1109/aie61866.2024.10561312
Language of publication
English

Co-publication information

International co-publication
Yes
Co-publication with a company
No

Availability

Link to self-archived version
https://urn.fi/URN:NBN:fi-fe202501081833

Classification and additional information

MinEdu field of science classification
222 Other engineering and technologies
Keywords
Power Grid; Resilience; Social-cyber-physical Threats

Funding information

Funding information in the publication
The authors would like to acknowledge the following financers: Nordic Energy Research, Business Finland, The Swedish Energy Agency, The Norwegian SmartGrid Centre, Statnett, Svenska Kraftnät, Fingrid.
Funders
Funder
Business Finland
Name of funding
-
Funding decision
-

Source database ID

WoS ID
WOS:001265777700009
Scopus ID
2-s2.0-85197885404