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1 Ergebnisse
1
Research on optimal scheduling strategy of virtual power pl..:
, In:
Tsinghua-IET Electrical Engineering Academic Forum 2023
,
Huang, H.
;
Hou, J.
;
Wo, J.
... - p. None , 2023
Link:
https://doi.org/10.1049/icp.2023.1826
RT T1 <cTitle>Tsinghua-IET Electrical Engineering Academic Forum 2023</cTitle>: T1 <Title>Research on optimal scheduling strategy of virtual power plant based on potential mining of industrial load demand response and user portrait</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10267868&Exemplar=1&LAN=DE A1 Huang, H. A1 Hou, J. A1 Wo, J. A1 Yang, J. A1 Xu, Y. A1 Zhang, W. YR 2023 K1 demand side management K1 pattern clustering K1 power consumption K1 power engineering computing K1 power generation economics K1 power generation scheduling K1 power grids K1 virtual power plants K1 demand side regulation K1 IEEE 118 node system K1 IEEE 30 node system K1 industrial load demand response K1 K-Mediods clustering method K1 optimal scheduling strategy K1 power grid demand response regulation strategy K1 system cost K1 virtual power plant SP None LK http://dx.doi.org/https://doi.org/10.1049/icp.2023.1826 DO https://doi.org/10.1049/icp.2023.1826 SF ELIB - SuUB Bremen
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