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1 Ergebnisse
1
QMIX-Based Multi-Agent Reinforcement Learning for Electric ..:
, In:
GLOBECOM 2023 - 2023 IEEE Global Communications Conference
,
Wang, Li
;
Liu, Sixuan
;
Wang, Pengfei
... - p. 1693-1698 , 2023
Link:
https://doi.org/10.1109/GLOBECOM54140.2023.10437665
RT T1 <cTitle>GLOBECOM 2023 - 2023 IEEE Global Communications Conference</cTitle>: T1 <Title>QMIX-Based Multi-Agent Reinforcement Learning for Electric Vehicle-Facilitated Peak Shaving</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10437665&Exemplar=1&LAN=DE A1 Wang, Li A1 Liu, Sixuan A1 Wang, Pengfei A1 Xu, Lianming A1 Hou, Luyang A1 Fei, Aiguo YR 2023 SN 2576-6813 K1 Costs K1 Simulation K1 Power system dynamics K1 Reinforcement learning K1 Electric vehicles K1 Numerical models K1 Vehicle dynamics K1 Peak shaving K1 electric vehicle K1 multi-agent rein-forcement learning K1 QMIX SP 1693 OP 1698 LK http://dx.doi.org/https://doi.org/10.1109/GLOBECOM54140.2023.10437665 DO https://doi.org/10.1109/GLOBECOM54140.2023.10437665 SF ELIB - SuUB Bremen
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