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Demand dynamics for hydrocarbon fuels during the COVID‐19 pandemic
This work is aimed at analyzing demand dynamics for hydrocarbon fuels from March 2020 and developing a forecast model for the near future. Based on the method of artificial neural network with feedforward and backpropagation learning, a model is proposed for forecasting oil demand and passenger mobi...
Gardado en:
| Publicado en: | Chem Eng Technol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
John Wiley and Sons Inc.
2021
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8239653/ https://ncbi.nlm.nih.gov/pubmed/34219974 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/ceat.202100152 |
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