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1 Ergebnisse
1
Risk Assessment of High-percentage Renewable Energy in Sour..:
, In:
2023 3rd International Conference on Intelligent Power and Systems (ICIPS)
,
Li, Yanchun
;
Chen, Zelong
;
Yang, Tianmeng
... - p. 569-580 , 2023
Link:
https://doi.org/10.1109/ICIPS59254.2023.10404249
RT T1 <cTitle>2023 3rd International Conference on Intelligent Power and Systems (ICIPS)</cTitle>: T1 <Title>Risk Assessment of High-percentage Renewable Energy in Source-load Imbalance Scenarios under Severe Weather</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10404249&Exemplar=1&LAN=DE A1 Li, Yanchun A1 Chen, Zelong A1 Yang, Tianmeng A1 Li, Peng A1 Song, Xuan A1 Zhao, Yumin A1 Liu, Jicheng A1 Feng, Wei YR 2023 K1 Renewable energy sources K1 Uncertainty K1 Risk management K1 Indexes K1 Scenario generation K1 Meteorology K1 Resilience K1 High proportional renewable energy systems K1 source-load risk scenarios K1 conditional adversarial generation networks K1 resilience enhancement K1 emergency recovery. Introduction SP 569 OP 580 LK http://dx.doi.org/https://doi.org/10.1109/ICIPS59254.2023.10404249 DO https://doi.org/10.1109/ICIPS59254.2023.10404249 SF ELIB - SuUB Bremen
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