power systems; artificial intelligence; microgrids; distribution networks; transmission networks; supergrids; sector coupling
Abstract :
[en] Power systems are one of the most complex engineering structures ever built by mankind.
This talk takes you on a journey through the different layers of power systems, with the aim of showing to machine learning (ML) researchers the numerous decision-making problems each layer presents.
The solutions to these problems will help considerably to accelerate the decarbonization of our societies.
Disciplines :
Computer science Energy
Author, co-author :
Ernst, Damien ; Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Smart grids
Language :
English
Title :
The four-layer decision-making problem for power system operation: How can AI help?
Publication date :
09 September 2024
Event name :
ECML-PKDD 2024 Workshop on Machine Learning for Sustainable Power Systems (ML4SPS)
Event place :
Vilnius, Lithuania
Event date :
6 September 2024
Audience :
International
Development Goals :
7. Affordable and clean energy 9. Industry, innovation and infrastructure 13. Climate action
