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The aim is to present a framework for predicting power requirements of various hull types using statistical models.

May 24, 2026FME TransactionOpen Access

On application of statistically-based mathematical models for power prediction of high-speed craft

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Review highlights statistical mathematical models for predicting power in high-speed crafts, suggesting design optimization methodologies.

The aim is to present a framework for predicting power requirements of various hull types using statistical models.
Developed reduced-order mathematical models for hull resistance and propeller efficiency.
Utilized regression techniques and artificial neural networks for model development.
Structured presentation of the methodology for integration into design workflows.
Statistically-based models streamline power prediction compared to traditional CFD techniques.
Demonstrated practicality of ANN in capturing complex interactions of design parameters.
Provided structured methodology that supports design optimization in marine engineering.

Radojčić et al. (2026) studied this question.

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Review highlights statistical mathematical models for predicting power in high-speed crafts, suggesting design optimization methodologies.