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1 Ergebnisse
1
Few-shot ultra-short-term wind power forecasting based on t..:
, In:
12th International Conference on Renewable Power Generation (RPG 2023)
,
Li, Y.
;
Chen, F.
;
Yan, J.
.. - p. None , 2023
Link:
https://doi.org/10.1049/icp.2023.2157
RT T1 <cTitle>12th International Conference on Renewable Power Generation (RPG 2023)</cTitle>: T1 <Title>Few-shot ultra-short-term wind power forecasting based on the meta-learning framework</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10324825&Exemplar=1&LAN=DE A1 Li, Y. A1 Chen, F. A1 Yan, J. A1 Liu, Y. A1 Han, S. YR 2023 K1 deep learning (artificial intelligence) K1 load forecasting K1 power engineering computing K1 wind power plants K1 coordinated operation ability K1 few-shot ultrashort-term wind power forecasting method K1 metalearning optimized transformer model K1 metatesting phase K1 metatraining phase K1 neural network K1 power systems K1 source wind farm datasets K1 training sample data SP None LK http://dx.doi.org/https://doi.org/10.1049/icp.2023.2157 DO https://doi.org/10.1049/icp.2023.2157 SF ELIB - SuUB Bremen
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