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1 Ergebnisse
1
Overview of PV-stGNN-PLR framework for fleet-level PLR esti..:
Yangxin Fan
;
Raymond Wieser
;
Xuanji Yu
...
doi:10.1371/journal.pone.0297445.g001. , 2024
Link:
https://doi.org/10.1371/journal.pone.0297445.g001
RT Journal T1
Overview of PV-stGNN-PLR framework for fleet-level PLR estimation
UL https://suche.suub.uni-bremen.de/peid=base-ftgriffithunifig:oai:figshare.com:article_25220650&Exemplar=1&LAN=DE A1 Yangxin Fan A1 Raymond Wieser A1 Xuanji Yu A1 Yinghui Wu A1 Laura S. Bruckman A1 Roger H. French YR 2024 K1 Science Policy K1 Environmental Sciences not elsewhere classified K1 Biological Sciences not elsewhere classified K1 Mathematical Sciences not elsewhere classified K1 superior levelized cost K1 require user knowledge K1 power timeseries data K1 power generation technology K1 methods inherently assume K1 experimental results show K1 leverage spatial coherence K1 plr exploits spatial K1 estimation methods based K1 div >< p K1 real world degradation K1 pv systems lies K1 pv module performance K1 temporal coherence K1 providing real K1 pv systems K1 evaluated pv K1 viable alternative K1 time monitoring K1 system performance K1 successful disentanglement K1 statistical models K1 smoothness regularization K1 significant challenge K1 plr obtains K1 plr decomposes K1 plr </ K1 plr ) K1 notable drawbacks K1 loss function K1 large fleets K1 imposes flatness K1 financial asset K1 euclidean distance K1 accurate estimation K1 5 sites K1 100 inverters JF doi:10.1371/journal.pone.0297445.g001 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0297445.g001 DO https://doi.org/10.1371/journal.pone.0297445.g001 SF ELIB - SuUB Bremen
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