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1 Ergebnisse
1
Day-ahead Scheduling Model for Power Systems with a High Pr..:
, In:
2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)
,
Ling, Chengxiang
;
Luo, Xianjue
;
Li, Ningning
... - p. 2028-2033 , 2022
Link:
https://doi.org/10.1109/SPIES55999.2022.10082266
RT T1 <cTitle>2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)</cTitle>: T1 <Title>Day-ahead Scheduling Model for Power Systems with a High Proportion of Renewable Energy</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10082266&Exemplar=1&LAN=DE A1 Ling, Chengxiang A1 Luo, Xianjue A1 Li, Ningning A1 Yue, Yan A1 Ren, Shuyi A1 Chen, Yuxi YR 2022 K1 Photovoltaic systems K1 Renewable energy sources K1 Technological innovation K1 Costs K1 Fluctuations K1 Pareto optimization K1 Wind power generation K1 a high proportion of renewable energy K1 day-ahead scheduling K1 low-carbon K1 Pareto optimality SP 2028 OP 2033 LK http://dx.doi.org/https://doi.org/10.1109/SPIES55999.2022.10082266 DO https://doi.org/10.1109/SPIES55999.2022.10082266 SF ELIB - SuUB Bremen
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