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Institute for Data and Process Science

Recurrent Soft Actor Critic Reinforcement Learning for Demand Response Problems

Autoren

Daniel Zinsmeister
Vedran Peric
Thomas Hamacher
Ulrich Ludolfinger
Ulrich.Ludolfinger@haw-landshut.de
Prof. Dr. Sascha Hauke
Sascha.Hauke@haw-landshut.de
Prof. Dr. Maren Martens
Maren.Martens@haw-landshut.de

Medien

2023 IEEE Belgrade PowerTech. Conference Proceedings

Veröffentlichungsjahr

2023

Veröffentlichungsart

Konferenzbeitrag (peer reviewed)

DOI

https://doi.org/10.1109/PowerTech55446.2023.10202844

Zitierung

Ludolfinger, Ulrich; Zinsmeister, Daniel; Peric, Vedran; Hamacher, Thomas; Hauke, Sascha; Martens, Maren (2023): Recurrent Soft Actor Critic Reinforcement Learning for Demand Response Problems. 2023 IEEE Belgrade PowerTech. Conference Proceedings. DOI: 10.1109/PowerTech55446.2023.10202844

Peer Reviewed

Ja

Institute for Data and Process Science

Recurrent Soft Actor Critic Reinforcement Learning for Demand Response Problems