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1 Ergebnisse
1
Identification Mthod of Ajustable Rsource Load Model for La..:
, In:
2023 International Conference on Advances in Electrical Engineering and Computer Applications (AEECA)
,
Ai, Dengxin
;
Wang, Kun
;
Zhang, Peirong
... - p. 294-299 , 2023
Link:
https://doi.org/10.1109/AEECA59734.2023.00060
RT T1 <cTitle>2023 International Conference on Advances in Electrical Engineering and Computer Applications (AEECA)</cTitle>: T1 <Title>Identification Mthod of Ajustable Rsource Load Model for Large-scale Virtual Power Plant Considering Multi-dimensional Characteristics</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10511416&Exemplar=1&LAN=DE A1 Ai, Dengxin A1 Wang, Kun A1 Zhang, Peirong A1 Liu, Haoyu A1 Cheng, Baohua A1 Zhao, Chenyang A1 Ren, Yuan A1 Zhao, Yue YR 2023 K1 Analytical models K1 Heuristic algorithms K1 Power system dynamics K1 Virtual power plants K1 Data models K1 Real-time systems K1 Power grids K1 virtual power plant K1 multidimensional features K1 adjustable resources K1 model identification K1 data-driven SP 294 OP 299 LK http://dx.doi.org/https://doi.org/10.1109/AEECA59734.2023.00060 DO https://doi.org/10.1109/AEECA59734.2023.00060 SF ELIB - SuUB Bremen
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