Ship fuel consumption prediction based on transfer learning: models and applications

• Main Authors: Luo, Xi, Zhang, Mingyang, Han, Yi, Yan, Ran, Wang, Shuaian
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2025
• Subjects: Engineering; Ship fuel consumption prediction; Green shipping
• Online Access: https://hdl.handle.net/10356/182519
• Institution: Nanyang Technological University

Data-driven fuel consumption rate (FCR) prediction models largely depend on the amount of training data, which can be scarce for new ships with limited operating time. To tackle this issue, we implement three transfer learning strategies to leverage knowledge from another seven container ships to co...