Maritime decarbonization through machine learning: A critical systematic review of fuel and power prediction models

A vital component of decarbonization and operational optimization in the maritime industry is predicting ship propulsion power requirements and fuel consumption rates. This study systematically and critically reviews the application of machine learning (ML) in fuel and power estimation and predictio...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Cleaner Logistics and Supply Chain
المؤلفون الرئيسيون: Son Nguyen, Matthieu Gadel, Ke Wang, Jing Li, Xiaocai Zhang, Siang-Ching Kong, Xiuju Fu, Zheng Qin
التنسيق: مقال
اللغة:الإنجليزية
منشور في: Elsevier 2025-03-01
الموضوعات:
الوصول للمادة أونلاين:http://www.sciencedirect.com/science/article/pii/S2772390925000095