Master data

Title: Exploring the Potential of Self-Organizing Applications in Energy Networks
Subtitle:
Abstract:
Keywords: bio-inspired algorithms, slime molds, network planning, self-organization, multi-agent simulation, energy networks, artificial intelligence, machine learning
Publication type: Article in Proceedings (Authorship)
Publication date: 11.12.2023 (Online)
Published by: IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)
IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)
to publication
 ( IEEE; )
Title of the series: -
Volume number: -
First publication: Yes
Version: -
Page: -

Versionen

Keine Version vorhanden
Publication date: 11.12.2023
ISBN (e-book):
  • 979-8-3503-3747-1
eISSN: -
DOI: http://dx.doi.org/10.1109/ACSOS-C58168.2023.00023
Homepage: https://ieeexplore.ieee.org/document/10336241
Open access
  • Available online (not open access)

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Vernetzte und Eingebettete Systeme
Universitätsstraße 65-67
9020 Klagenfurt am Wörthersee
Austria
  -993640
   kornelia.lienbacher@aau.at
https://nes.aau.at/
To organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee

Categorisation

Subject areas
  • 102009 - Computer simulation
  • 211908 - Energy research
  • 202022 - Information technology
Research Cluster
  • Energy management and technology
  • Self-organizing systems
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: I)
Classification raster of the assigned organisational units:
working groups
  • Smart Grids Group

Cooperations

No partner organisations selected

Articles of the publication

No related publications