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1 Ergebnisse
1
Renewable Energy Scenario Generation Method Based on Cluste..:
, In:
2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2)
,
Song, Shaoqun
;
Liu, Zhixuan
;
Lai, Yongsheng
... - p. 3376-3380 , 2023
Link:
https://doi.org/10.1109/EI259745.2023.10512892
RT T1 <cTitle>2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2)</cTitle>: T1 <Title>Renewable Energy Scenario Generation Method Based on Clustering of Fluctuation Characteristics and Optimizing the Number of States in MCMC Method</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10512892&Exemplar=1&LAN=DE A1 Song, Shaoqun A1 Liu, Zhixuan A1 Lai, Yongsheng A1 Zhang, Rui A1 Zhou, Han A1 Chen, Haoxuan YR 2023 K1 Renewable energy sources K1 Fluctuations K1 Uncertainty K1 Monte Carlo methods K1 Power distribution K1 System integration K1 Probability distribution K1 scene generation K1 Markov chain Monte Carlo method K1 fluctuation characteristics K1 optimal number of states SP 3376 OP 3380 LK http://dx.doi.org/https://doi.org/10.1109/EI259745.2023.10512892 DO https://doi.org/10.1109/EI259745.2023.10512892 SF ELIB - SuUB Bremen
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