Data driven fuel consumption prediction model for green aviation using radial basis function neural network

Data driven fuel consumption prediction model for green aviation using radial basis function neural network

Abstract In response to the growing demand for sustainable aviation, a fuel consumption prediction model based on Radial Basis Function (RBF) Neural Networks was proposed. Using high-resolution onboard Quick Access Recorder (QAR) data, which contains richer flight parameters and higher accuracy, RBF...

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Bibliographic Details
Main Authors: Yuandi Zhao, Zhongyi Wang, Xiaohui Wang, Ye Song, Yuzhe Han
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Green civil aviation
Fuel consumption
Radial basis function neural network
Fuel penalty for carrying additional fuel
Online Access:https://doi.org/10.1038/s41598-025-11941-8
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https://doi.org/10.1038/s41598-025-11941-8

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