@article{ART003283679},
author={Bong-Min Cha and Heung-Jun Im and Sang-Bong LEE and Seongpil Kang and Dong-Hyun Kim},
title={Analysis of Data Design Factors Affecting Ship Fuel Consumption Prediction: A Multi-Factor Experimental Approach},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2025},
volume={11},
number={6},
pages={23}
TY - JOUR
AU - Bong-Min Cha
AU - Heung-Jun Im
AU - Sang-Bong LEE
AU - Seongpil Kang
AU - Dong-Hyun Kim
TI - Analysis of Data Design Factors Affecting Ship Fuel Consumption Prediction: A Multi-Factor Experimental Approach
JO - Journal of Internet of Things and Convergence
PY - 2025
VL - 11
IS - 6
PB - The Korea Internet of Things Society
SP - 23
EP -
SN - 2466-0078
AB - With the strengthening global commitment to a sustainable future, efforts to achieve net-zero greenhouse gas emissions by 2050 are accelerating. Accordingly, the need for decarbonization in the maritime sector, which carries over 90% of global trade and produces about 3% of anthropogenic emissions, continues to grow. Yet many existing studies rely on post-voyage variables or assume temporal continuity and data completeness, limiting their applicability to real operations. This study proposes an automated experimental framework that predicts fuel oil consumption using only variables available at the voyage planning stage. Key experimental factors—normal-operation filtering, input representation, temporal resolution, data-splitting methods, target variable selection, and model type— are systematically defined. The Hydra framework automates experiments across factor combinations, and ANOVA quantifies each factor’s contribution to prediction performance. Results show that operational condition settings strongly influence accuracy, and the study provides a data design strategy to support future energy-efficient voyage planning.
KW - Maritime Decarbonization;Fuel Consumption Prediction;Ship Energy Efficiency;Data;Design Strategy;Factor Analysis
DO -
UR -
ER -
Bong-Min Cha, Heung-Jun Im, Sang-Bong LEE, Seongpil Kang and Dong-Hyun Kim. (2025). Analysis of Data Design Factors Affecting Ship Fuel Consumption Prediction: A Multi-Factor Experimental Approach. Journal of Internet of Things and Convergence, 11(6), 23.
Bong-Min Cha, Heung-Jun Im, Sang-Bong LEE, Seongpil Kang and Dong-Hyun Kim. 2025, "Analysis of Data Design Factors Affecting Ship Fuel Consumption Prediction: A Multi-Factor Experimental Approach", Journal of Internet of Things and Convergence, vol.11, no.6 23.
Bong-Min Cha, Heung-Jun Im, Sang-Bong LEE, Seongpil Kang, Dong-Hyun Kim "Analysis of Data Design Factors Affecting Ship Fuel Consumption Prediction: A Multi-Factor Experimental Approach" Journal of Internet of Things and Convergence 11.6 23 (2025) : 23.
Bong-Min Cha, Heung-Jun Im, Sang-Bong LEE, Seongpil Kang, Dong-Hyun Kim. Analysis of Data Design Factors Affecting Ship Fuel Consumption Prediction: A Multi-Factor Experimental Approach. 2025; 11(6), 23.
Bong-Min Cha, Heung-Jun Im, Sang-Bong LEE, Seongpil Kang and Dong-Hyun Kim. "Analysis of Data Design Factors Affecting Ship Fuel Consumption Prediction: A Multi-Factor Experimental Approach" Journal of Internet of Things and Convergence 11, no.6 (2025) : 23.
Bong-Min Cha; Heung-Jun Im; Sang-Bong LEE; Seongpil Kang; Dong-Hyun Kim. Analysis of Data Design Factors Affecting Ship Fuel Consumption Prediction: A Multi-Factor Experimental Approach. Journal of Internet of Things and Convergence, 11(6), 23.
Bong-Min Cha; Heung-Jun Im; Sang-Bong LEE; Seongpil Kang; Dong-Hyun Kim. Analysis of Data Design Factors Affecting Ship Fuel Consumption Prediction: A Multi-Factor Experimental Approach. Journal of Internet of Things and Convergence. 2025; 11(6) 23.
Bong-Min Cha, Heung-Jun Im, Sang-Bong LEE, Seongpil Kang, Dong-Hyun Kim. Analysis of Data Design Factors Affecting Ship Fuel Consumption Prediction: A Multi-Factor Experimental Approach. 2025; 11(6), 23.
Bong-Min Cha, Heung-Jun Im, Sang-Bong LEE, Seongpil Kang and Dong-Hyun Kim. "Analysis of Data Design Factors Affecting Ship Fuel Consumption Prediction: A Multi-Factor Experimental Approach" Journal of Internet of Things and Convergence 11, no.6 (2025) : 23.
