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Reinforcement Learning Model-Based and Model-Free Paradigms for Optimal Control Problems in Power Systems: Comprehensive Review and Future Directions

This paper reviews recent works related to applications of reinforcement learning in power system optimal control problems. Based on an extensive analysis of works in the recent literature, we attempt to better understand the gap between reinforcement learning methods that rely on complete or incomp...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Elinor Ginzburg-Ganz, Itay Segev, Alexander Balabanov, Elior Segev, Sivan Kaully Naveh, Ram Machlev, Juri Belikov, Liran Katzir, Sarah Keren, Yoash Levron
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2024-10-01
Schriftenreihe:Energies
Schlagworte:
reinforcement learning
model based
model free
control problems
energy management
Online-Zugang:https://www.mdpi.com/1996-1073/17/21/5307
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