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- Titel:
Recurrent Soft Actor Critic Reinforcement Learning for Demand Response Problems
- Dokumenttyp:
- Konferenzbeitrag
- Autor(en):
- Ludolfinger, Ulrich; Zinsmeister, Daniel; Perić, Vedran S.; Hamacher, Thomas; Hauke, Sascha; Martens, Maren
- Stichworte:
- Training; Deep learning; Uncertainty; Buildings; Reinforcement learning; Markov processes; Demand response; Machine Learning; Reinforcement Learning; Partially Observable Markov Decision Process; Recurrent Soft Actor Critic; Home Energy Management; Demand Response
- Kongress- / Buchtitel:
- 2023 IEEE Belgrade PowerTech
- Jahr:
- 2023
- Seiten:
- 1-6
- Volltext / DOI:
- doi:10.1109/PowerTech55446.2023.10202844
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