Authors:
Daniel Staegemann
;
Christian Haertel
;
Christian Daase
;
Matthias Pohl
and
Klaus Turowski
Affiliation:
Magdeburg Research and Competence Cluster VLBA, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
Keyword(s):
Power Grid, Electrical Grid, Grid Operators, Artificial Intelligence, Machine Learning, Literature Review, Meta-Review.
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.