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Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship

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  1. Li, Zhijun & Fei, Jiangang & Du, Yuquan & Ong, Kok-Leong & Arisian, Sobhan, 2024. "A near real-time carbon accounting framework for the decarbonization of maritime transport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 191(C).
  2. Bhide, Nitish & Mandal, Jasashwi & Kumar, Ramesh & Tiwari, Manoj K., 2026. "Joint bunker fuel and freight revenue management in liner shipping: A decision-focused learning approach," International Journal of Production Economics, Elsevier, vol. 291(C).
  3. Kondratenko, Aleksander A. & Zhang, Mingyang & Tavakoli, Sasan & Altarriba, Elias & Hirdaris, Spyros, 2025. "Existing technologies and scientific advancements to decarbonize shipping by retrofitting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 212(C).
  4. Shang, Gang & Xu, Liyun & Tian, Jinzhu & Cai, Dongwei & Xu, Zhun & Zhou, Zhuo, 2023. "A real-time green construction optimization strategy for engineering vessels considering fuel consumption and productivity: A case study on a cutter suction dredger," Energy, Elsevier, vol. 274(C).
  5. Fan, Ailong & Wang, Yifu & Yang, Liu & Yang, Zhiyong & Hu, Zhihui, 2025. "A novel grey box model for ship fuel consumption prediction adapted to complex navigating conditions," Energy, Elsevier, vol. 315(C).
  6. Tan, Zhijia & Zeng, Xianyang & Shao, Shuai & Chen, Jihong & Wang, Hua, 2022. "Scrubber installation and green fuel for inland river ships with non-identical streamflow," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
  7. Ruan, Zhang & Huang, Lianzhong & Wang, Kai & Ma, Ranqi & Wang, Zhongyi & Zhang, Rui & Zhao, Haoyang & Wang, Cong, 2024. "A novel prediction method of fuel consumption for wing-diesel hybrid vessels based on feature construction," Energy, Elsevier, vol. 286(C).
  8. Ghosh, Indranil & De, Arijit, 2024. "Maritime Fuel Price Prediction of European Ports using Least Square Boosting and Facebook Prophet: Additional Insights from Explainable Artificial Intelligence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
  9. Bin Meng & Shuiyang Chen & Hercules Haralambides & Haibo Kuang & Lidong Fan, 2023. "Information spillovers between carbon emissions trading prices and shipping markets: A time-frequency analysis," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-04046290, HAL.
  10. Ding, Yanyan & Yang, Dong, 2025. "Should an electric vehicle manufacturer buy its own ship? Investment and pricing strategies under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 195(C).
  11. Xu, Lang & Wu, Jiyuan & Yan, Ran & Chen, Jihong & Fu, Shanshan, 2025. "Who predicts better? A comparison of machine learning and econometrics in forecasting CO2 emissions from global shipping," Energy, Elsevier, vol. 338(C).
  12. Wang, Shuaian & Yan, Ran, 2023. "Fundamental challenge and solution methods in prescriptive analytics for freight transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
  13. Chen, Shuiyang & Meng, Bin & Kuang, Haibo, 2025. "High-order moment joint risk spillovers and investment management: Implications for green shipbuilding policy and practice," Transport Policy, Elsevier, vol. 163(C), pages 152-167.
  14. Yu, Jingjing & Tang, Guolei & Song, Xiangqun, 2022. "Collaboration of vessel speed optimization with berth allocation and quay crane assignment considering vessel service differentiation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
  15. Yan, Ran & Wang, Shuaian & Psaraftis, Harilaos N., 2021. "Data analytics for fuel consumption management in maritime transportation: Status and perspectives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
  16. Zhang, Chenliang & Jin, Zhongyi & Ng, Kam K.H. & Tang, Tie-Qiao & Zhang, Fangni & Liu, Wei, 2025. "Predictive and prescriptive analytics for robust airport gate assignment planning in airside operations under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 195(C).
  17. Bin Meng & Shuiyang Chen & Hercules Haralambides & Haibo Kuang & Lidong Fan, 2023. "Information spillovers between carbon emissions trading prices and shipping markets: A time-frequency analysis," Post-Print hal-04046290, HAL.
  18. Qi Hong & Xuecheng Tian & Yong Jin & Zhiyuan Liu & Shuaian Wang, 2025. "Improved Fuel Consumption Estimation for Sailing Speed Optimization: Eliminating Log Transformation Bias," Mathematics, MDPI, vol. 13(12), pages 1-20, June.
  19. Zhang, Chenliang & Jin, Zhongyi & Ng, Kam K.H. & Tang, Tie-Qiao & Tang, Rong, 2026. "Distributionally robust optimisation approach for aircraft sequencing and scheduling with learning-driven arrival and departure time predictions," Omega, Elsevier, vol. 138(C).
  20. Wang, Ruihan & Shang, Tianyu & Yang, Dong & Yan, Ran, 2025. "Empowering econometric methods with machine learning for policy making: A comparative study in maritime transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 200(C).
  21. Yang, Dong & Liao, Shiguan & Venus Lun, Y.H & Bai, Xiwen, 2023. "Towards sustainable port management: Data-driven global container ports turnover rate assessment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
  22. Wu, Lingxiao & Wang, Shuaian & Laporte, Gilbert, 2021. "The Robust Bulk Ship Routing Problem with Batched Cargo Selection," Transportation Research Part B: Methodological, Elsevier, vol. 143(C), pages 124-159.
  23. Beullens, Patrick & Ge, Fangsheng & Hudson, Dominic, 2023. "The economic ship speed under time charter contract—A cash flow approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
  24. Tayfun Uyanık & Yunus Yalman & Özcan Kalenderli & Yasin Arslanoğlu & Yacine Terriche & Chun-Lien Su & Josep M. Guerrero, 2022. "Data-Driven Approach for Estimating Power and Fuel Consumption of Ship: A Case of Container Vessel," Mathematics, MDPI, vol. 10(22), pages 1-21, November.
  25. Han, Peixiu & Liu, Zhongbo & Li, Chi & Sun, Zhuo & Yan, Chunxin, 2024. "A novel federated learning-based two-stage approach for ship energy consumption optimization considering both shipping data security and statistical heterogeneity," Energy, Elsevier, vol. 309(C).
  26. Niu, Baozhuang & Dong, Jian & Wang, Hongzhi, 2024. "Smart port vs. port integration to mitigate congestion: ESG performance and data validation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 191(C).
  27. Meng, Bin & Chen, Shuiyang & Haralambides, Hercules & Kuang, Haibo & Fan, Lidong, 2023. "Information spillovers between carbon emissions trading prices and shipping markets: A time-frequency analysis," Energy Economics, Elsevier, vol. 120(C).
  28. Nguyen, Son & Fu, Xiuju & Ogawa, Daichi & Zheng, Qin, 2023. "An application-oriented testing regime and multi-ship predictive modeling for vessel fuel consumption prediction," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
  29. Yan, Ran & Yang, Dong & Wang, Tianyu & Mo, Haoyu & Wang, Shuaian, 2024. "Improving ship energy efficiency: Models, methods, and applications," Applied Energy, Elsevier, vol. 368(C).
  30. Ran Yan & Wen Yi & Shuaian Wang, 2022. "Predicting Maximum Work Duration for Construction Workers," Sustainability, MDPI, vol. 14(17), pages 1-12, September.
  31. Wen Yi & Robyn Phipps & Hans Wang, 2020. "Sustainable Ship Loading Planning for Prefabricated Products in the Construction Industry," Sustainability, MDPI, vol. 12(21), pages 1-12, October.
  32. Tayfun Uyanık & Nur Najihah Abu Bakar & Özcan Kalenderli & Yasin Arslanoğlu & Josep M. Guerrero & Abderezak Lashab, 2023. "A Data-Driven Approach for Generator Load Prediction in Shipboard Microgrid: The Chemical Tanker Case Study," Energies, MDPI, vol. 16(13), pages 1-20, June.
  33. Wang, Kai & Liu, Xing & Guo, Xin & Wang, Jianhang & Wang, Zhuang & Huang, Lianzhong, 2024. "A novel high-precision and self-adaptive prediction method for ship energy consumption based on the multi-model fusion approach," Energy, Elsevier, vol. 310(C).
  34. Philip Cammin & Jingjing Yu & Stefan Voß, 2023. "Tiered prediction models for port vessel emissions inventories," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 142-169, March.
  35. Kiriakos Alexiou & Efthimios G. Pariotis & Helen C. Leligou & Theodoros C. Zannis, 2022. "Towards Data-Driven Models in the Prediction of Ship Performance (Speed—Power) in Actual Seas: A Comparative Study between Modern Approaches," Energies, MDPI, vol. 15(16), pages 1-18, August.
  36. Ruan, Zhang & Huang, Lianzhong & Li, Daize & Ma, Ranqi & Wang, Kai & Zhang, Rui & Zhao, Haoyang & Wu, Jianyi & Li, Xiaowu, 2025. "A novel dual-stage grey-box stacking method for significantly improving the extrapolation performance of ship fuel consumption prediction models," Energy, Elsevier, vol. 318(C).
  37. Jan Monieta, 2022. "Method and a Device for Testing the Friction Force in Precision Pairs of Injection Apparatus of the Self-Ignition Engines," Energies, MDPI, vol. 15(19), pages 1-19, September.
  38. Guo, Yuhan & Wang, Yiyang & Chen, Yuhan & Wu, Lingxiao & Mao, Wengang, 2024. "Learning-based Pareto-optimum routing of ships incorporating uncertain meteorological and oceanographic forecasts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
  39. Elsisi, Mahmoud & Amer, Mohammed & Su, Chun-Lien & Aljohani, Tawfiq & Ali, Mahmoud N. & Sharawy, Mohamed, 2025. "A comprehensive review of machine learning and Internet of Things integrations for emission monitoring and resilient sustainable energy management of ships in port areas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 218(C).
  40. Filom, Siyavash & Amiri, Amir M. & Razavi, Saiedeh, 2022. "Applications of machine learning methods in port operations – A systematic literature review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
  41. Lan, Tian & Huang, Lianzhong & Ma, Ranqi & Wang, Kai & Ruan, Zhang & Wu, Jianyi & Li, Xiaowu & Chen, Li, 2025. "A robust method of dual adaptive prediction for ship fuel consumption based on polymorphic particle swarm algorithm driven," Applied Energy, Elsevier, vol. 379(C).
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