Forecasting the transportation energy demand with the help of optimization artificial neural network using an improved red fox optimizer (IRFO)

Transportation energy demand has a significant impact on worldwide energy consumption and greenhouse gas emissions. Accurate transportation energy demand predictions can help policymakers develop and implement successful energy policies and strategies. In this study, a novel approach to predict tran...

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Detalles Bibliográficos
Autores principales: Liu, Yijie, Yan, Gongxing, Settanni, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682531/
https://www.ncbi.nlm.nih.gov/pubmed/38034779
http://dx.doi.org/10.1016/j.heliyon.2023.e21599

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682531/
https://www.ncbi.nlm.nih.gov/pubmed/38034779
http://dx.doi.org/10.1016/j.heliyon.2023.e21599

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