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1 Ergebnisse
1
Predicting Thermoelectric Power Plants Diesel/Heavy Fuel Oi..:
Elias Amancio Siqueira-Filho
;
Maira Farias Andrade Lira
;
Attilio Converti
..
https://www.mdpi.com/1996-1073/16/7/2942. , 2023
Link:
https://doi.org/10.3390/en16072942
RT Journal T1
Predicting Thermoelectric Power Plants Diesel/Heavy Fuel Oil Engine Fuel Consumption Using Univariate Forecasting and XGBoost Machine Learning Models
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:f984e96e1f2f435c8deae6688ee1cea1&Exemplar=1&LAN=DE A1 Elias Amancio Siqueira-Filho A1 Maira Farias Andrade Lira A1 Attilio Converti A1 Hugo Valadares Siqueira A1 Carmelo J. A. Bastos-Filho PB MDPI AG YR 2023 K1 time series forecasting K1 power plants K1 fuel consumption K1 Box & Jenkins methodology K1 XGBoost K1 artificial neural networks K1 Technology K1 T JF https://www.mdpi.com/1996-1073/16/7/2942 LK http://dx.doi.org/https://doi.org/10.3390/en16072942 DO https://doi.org/10.3390/en16072942 SF ELIB - SuUB Bremen
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