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1 Ergebnisse
1
Graph Convolutional Network Based Day-ahead Demand Response..:
, In:
2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)
,
Wang, Liyong
;
Sun, Qinfei
;
Li, Meiyi
... - p. 1-7 , 2023
Link:
https://doi.org/10.1109/GlobConHT56829.2023.10087407
RT T1 <cTitle>2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)</cTitle>: T1 <Title>Graph Convolutional Network Based Day-ahead Demand Response Potential Forecasting Model Considering the Spatial-temporal Correlation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10087407&Exemplar=1&LAN=DE A1 Wang, Liyong A1 Sun, Qinfei A1 Li, Meiyi A1 Ge, Xinxin A1 Wang, Fei A1 Chen, Songsong A1 Gong, Taorong YR 2023 K1 Electric potential K1 Renewable energy sources K1 Correlation K1 Clustering algorithms K1 Predictive models K1 Feature extraction K1 Demand response K1 Graph convolutional network K1 Demand response potential K1 Load aggregator K1 Spatial-temporal correlation SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/GlobConHT56829.2023.10087407 DO https://doi.org/10.1109/GlobConHT56829.2023.10087407 SF ELIB - SuUB Bremen
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