A Meta-Review on the Use of Artificial Intelligence in the Context of Electrical Power Grid Operators

Daniel Staegemann, Christian Haertel, Christian Daase, Matthias Pohl, Klaus Turowski

2023

Abstract

With the growing energy hunger of today’s society and the ongoing transition from fossil fuels to renewable energies, the demands on the electrical power grids are growing. Consequently, grid operators are seeking for ways to improve their performance, flexibility, and reliability. One of these avenues is the use of artificial intelligence. However, while there are already promising endeavors, this research stream is still far from being mature. For this reason, in the publication at hand, a meta-review is presented that outlines important themes, trends, and challenges to provide scientists interested in the domain with a starting point for new projects.

Paper Citation

in Harvard Style

Staegemann D., Haertel C., Daase C., Pohl M. and Turowski K. (2023). A Meta-Review on the Use of Artificial Intelligence in the Context of Electrical Power Grid Operators. In Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-670-5, SciTePress, pages 335-341. DOI: 10.5220/0012238500003543

in Bibtex Style

@conference{icinco23,
author={Daniel Staegemann and Christian Haertel and Christian Daase and Matthias Pohl and Klaus Turowski},
title={A Meta-Review on the Use of Artificial Intelligence in the Context of Electrical Power Grid Operators},
booktitle={Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2023},
pages={335-341},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012238500003543},
isbn={978-989-758-670-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - A Meta-Review on the Use of Artificial Intelligence in the Context of Electrical Power Grid Operators
SN - 978-989-758-670-5
AU - Staegemann D.
AU - Haertel C.
AU - Daase C.
AU - Pohl M.
AU - Turowski K.
PY - 2023
SP - 335
EP - 341
DO - 10.5220/0012238500003543
PB - SciTePress