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...

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Bibliographic Details
Published in:Chem Eng Technol
Main Authors: Vorona-Slivinskaya, Lubov, Koryakov, Alexey, Semenycheva, Irina, Druzyanova, Varvara
Format: Artigo
Language:Inglês
Published: John Wiley and Sons Inc. 2021
Subjects:
Research Articles
Online Access: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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