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1 Ergebnisse
1
Proximal Policy Optimization for Volt-VAR Control in Distri..:
, In:
2021 IEEE Sustainable Power and Energy Conference (iSPEC)
,
Zhu, Tao
;
Hai, Di
;
Zhou, Shengchao
... - p. 677-681 , 2021
Link:
https://doi.org/10.1109/iSPEC53008.2021.9735483
RT T1 <cTitle>2021 IEEE Sustainable Power and Energy Conference (iSPEC)</cTitle>: T1 <Title>Proximal Policy Optimization for Volt-VAR Control in Distribution Networks with Renewable Energy Resources</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9735483&Exemplar=1&LAN=DE A1 Zhu, Tao A1 Hai, Di A1 Zhou, Shengchao A1 Zhang, Ruiying A1 Yan, Ziheng A1 Wu, Minghe YR 2021 K1 Training K1 Renewable energy sources K1 Costs K1 Process control K1 Reinforcement learning K1 Propagation losses K1 Power systems K1 Volt/VAR control K1 deep reinforcement learning K1 Markov decision process K1 policy gradient methods SP 677 OP 681 LK http://dx.doi.org/https://doi.org/10.1109/iSPEC53008.2021.9735483 DO https://doi.org/10.1109/iSPEC53008.2021.9735483 SF ELIB - SuUB Bremen
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