Innovative approaches to addressing the tradeoff between interpretability and accuracy in ship fuel consumption prediction

• Main Authors: Wang, Haoqing, Yan, Ran, Wang, Shuaian, Zhen, Lu
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering::Maritime studies; Maritime Transport; Interpretable Machine Learning Models
• Online Access: https://hdl.handle.net/10356/173354
• Institution: Nanyang Technological University

Ship fuel consumption is a major component of maritime transport costs and most of its emissions are harmful to the environment. Hence, it is essential to build an accurate ship fuel consumption prediction model, thereby providing reference to the navigation operations. However, maritime industry ex...