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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| 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 |