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1 Ergebnisse
1
Integrating Multi-source Data for CO₂ Emission Prediction a..:
, In:
2023 13th International Conference on Power and Energy Systems (ICPES)
,
Zhao, Jin
;
Wang, Weiru
;
Zheng, Huiping
.. - p. 581-587 , 2023
Link:
https://doi.org/10.1109/ICPES59999.2023.10399946
RT T1 <cTitle>2023 13th International Conference on Power and Energy Systems (ICPES)</cTitle>: T1 <Title>Integrating Multi-source Data for CO₂ Emission Prediction at City and County Level – A Case Study in Shanxi Province, China</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10399946&Exemplar=1&LAN=DE A1 Zhao, Jin A1 Wang, Weiru A1 Zheng, Huiping A1 Cheng, Xueting A1 Li, Mengzan YR 2023 SN 2767-732X K1 Radio frequency K1 Urban areas K1 Carbon dioxide K1 Predictive models K1 Market research K1 Data models K1 Carbon emissions K1 CO₂ emission K1 NPPNIIRS nighttime lights K1 socioeconomic statistical data K1 meteorological data K1 data integration K1 random forest SP 581 OP 587 LK http://dx.doi.org/https://doi.org/10.1109/ICPES59999.2023.10399946 DO https://doi.org/10.1109/ICPES59999.2023.10399946 SF ELIB - SuUB Bremen
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