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1 Ergebnisse
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Forecast of total rural energy demand based on energy consu..:
Wu Guilian
;
Zhang Linyao
;
Lin Tingting
...
https://www.frontiersin.org/articles/10.3389/fenrg.2022.1021164/full. , 2023
Link:
https://doi.org/10.3389/fenrg.2022.1021164
RT Journal T1 <Title>Forecast of total rural energy demand based on energy consumption intensity</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:dbbb4740c5d04c8b808fc4902e8eb309&Exemplar=1&LAN=DE A1 Wu Guilian A1 Zhang Linyao A1 Lin Tingting A1 Chen Hao A1 Li Wenlong A1 Wang Shaofang A1 Yan Jun A1 Liu Conghao PB Frontiers Media S.A. YR 2023 K1 energy consumption intensity K1 energy demand forecast K1 particle swarm-genetic hybrid optimization algorithm K1 clean and low-carbon energy transformation K1 energy demand regression model K1 General Works K1 A JF https://www.frontiersin.org/articles/10.3389/fenrg.2022.1021164/full LK http://dx.doi.org/https://doi.org/10.3389/fenrg.2022.1021164 DO https://doi.org/10.3389/fenrg.2022.1021164 SF ELIB - SuUB Bremen
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