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1 Ergebnisse
1
Utilizing Deep Reinforcement Learning for High-Voltage Dist..:
, In:
2024 IEEE 2nd International Conference on Power Science and Technology (ICPST)
,
Ou, Zhongxi
;
Zhang, Liang
;
Zhao, Xiaoyan
... - p. 725-730 , 2024
Link:
https://doi.org/10.1109/ICPST61417.2024.10601762
RT T1 <cTitle>2024 IEEE 2nd International Conference on Power Science and Technology (ICPST)</cTitle>: T1 <Title>Utilizing Deep Reinforcement Learning for High-Voltage Distribution Network Expansion Planning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10601762&Exemplar=1&LAN=DE A1 Ou, Zhongxi A1 Zhang, Liang A1 Zhao, Xiaoyan A1 Lan, Wei A1 Liu, Dundun A1 Liu, Weifeng YR 2024 K1 Costs K1 Substations K1 Distribution networks K1 High-voltage techniques K1 Deep reinforcement learning K1 Planning K1 Safety K1 distribution network expansion K1 Markov decision process K1 deep reinforcement learning K1 advantage actor-critic SP 725 OP 730 LK http://dx.doi.org/https://doi.org/10.1109/ICPST61417.2024.10601762 DO https://doi.org/10.1109/ICPST61417.2024.10601762 SF ELIB - SuUB Bremen
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