Modeling of aircraft fuel consumption using machine learning algorithms

Author:

Baumann S.ORCID,Klingauf U.

Funder

Bundesministerium für Wirtschaft und Energie

Publisher

Springer Science and Business Media LLC

Subject

Aerospace Engineering,Transportation

Reference31 articles.

1. International Air Transport Association (IATA): Fact sheet—fuel. https://www.iata.org/pressroom/facts_figures/fact_sheets/Documents/fact-sheet-fuel.pdf (2017). Accessed 5 Jan 2018

2. Chati, Y. S., Balakrishnan, H.: Statistical Modeling of Aircraft Engine Fuel Flow Rate. International Council of the Aeronautical Sciences (ICAS). http://www.icas.org/ICAS_ARCHIVE/ICAS2016/data/papers/2016_0619_paper.pdf (2016). Accessed 5 Jan 2018

3. Horiguchi, Y., Kayahara, H., Maeno, J.: Predicting Fuel Consumption and Flight Delays for Low-Cost Airlines. Association for the Advancement of Artificial Intelligence (AAAI). https://www.aaai.org/ocs/index.php/IAAI/IAAI17/paper/view/14591/13722 (2017). Accessed 5 Jan 2018

4. Trani, A., Wing-Ho, F., Schilling, G., Baik, H., Seshadri, A.: A Neural network model to estimate aircraft fuel consumption. In: 4th AIAA aviation technology, integration and operations (ATIO) forum, paper 2004-6401. American Institute of Aeronautics and Astronautics (AIAA) (2004)

5. Turgut, E.T., Rosen, M.A.: Relationship between fuel consumption and altitude for commercial aircraft during descent: preliminary assessment with a genetic algorithm. Aerosp. Sci. Technol. 17(1), 65–73 (2012)

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