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Titel:

Transformer Model Based Soft Actor-Critic Learning for HEMS

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Ludolfinger, Ulrich; Perić, Vedran S.; Hamacher, Thomas; Hauke, Sascha; Martens, Maren
Stichworte:
Training; Renewable energy sources; Architecture; Buildings; Process control; Reinforcement learning; Transformers; machine learning; reinforcement learning; soft actor-critic; transformer model; home energy management; demand response
Kongress- / Buchtitel:
2023 International Conference on Power System Technology (PowerCon)
Jahr:
2023
Seiten:
1-6
Volltext / DOI:
doi:10.1109/PowerCon58120.2023.10331287
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