Interpretable, data-driven models for predicting shaft power, fuel consumption, and speed considering the effects of hull fouling and weather conditions

Kim, Hyun Soo; Roh, Myung-Il

doi:10.1016/j.ijnaoe.2024.100592

International Journal of Naval Architecture and Ocean Engineeri

2024

DOI: 10.1016/j.ijnaoe.2024.100592

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Interpretable, data-driven models for predicting shaft power, fuel consumption, and speed considering the effects of hull fouling and weather conditions

Hyun Soo Kim,

Myung-Il Roh

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Cited by 6 publications

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Interpretable, data-driven models for predicting shaft power, fuel consumption, and speed considering the effects of hull fouling and weather conditions

Cited by 6 publications

References 34 publications

Forecasting shipbuilding demand using shipping market modeling: A case study of LNGC

Forecasting shipbuilding demand using shipping market modeling: A case study of LNGC

Data-driven modeling and regression analysis on ship resistance of in-service performance

Data-driven approach to evaluate the impact of hull roughness on main engine load of river-sea ships

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