Abstract ▼ AI-Helper

Owing to the recent MARPOL Annex VI convention by the international
Maritime Organization, technological innovations are required to reduce
fuel costs. In this study, we estimated the external forces using a gradient
boosting tree-based algorithm, such as XGBoost and LightGBM, to help

Owing to the recent MARPOL Annex VI convention by the international
Maritime Organization, technological innovations are required to reduce
fuel costs. In this study, we estimated the external forces using a gradient
boosting tree-based algorithm, such as XGBoost and LightGBM, to help
develop optimal routes that can reduce fuel consumption. Variable
directionality data, ranging from 0 to 360°, were used for the analysis. It
should be noted that even though 0 and 360° are the same, they are
perceived differently by the algorithms. To solve this problem, data
transformation was applied, which increased the performance of the model.
Consequently, the estimation of external forces considering data
transformation and using LightGBM exhibited the best performance.

Keyword