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Institute for Data and Process Science

A Resilient Reinforcement Learning based Home Energy Management System

Autoren

Seyed Dariush Hosseini
Seyed-Dariush.Hosseini@haw-landshut.de
Ulrich Ludolfinger
Ulrich.Ludolfinger@haw-landshut.de
Thomas Hamacher
Prof. Dr. Maren Martens
Maren.Martens@haw-landshut.de

Medien

E-Energy '25: Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems

Veröffentlichungsjahr

2025

Seiten

232-242

Veröffentlichungsart

Konferenzbeitrag (peer reviewed)

Forschungsprojekt

ReLLFloW

ISBN

9798400711251

DOI

https://doi.org/https://dl.acm.org/doi/10.1145/3679240.3734621

Zitierung

Hosseini, Seyed Dariush; Ludolfinger, Ulrich; Hamacher, Thomas; Martens, Maren (2025): A Resilient Reinforcement Learning based Home Energy Management System. E-Energy '25: Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, 232-242. DOI: https://dl.acm.org/doi/10.1145/3679240.3734621

Peer Reviewed

Ja

Institute for Data and Process Science

A Resilient Reinforcement Learning based Home Energy Management System