Work

Ship fuel oil consumption prediction at sea and in port considering sustainable maritime industry: A comparative study of machine learning and deep learning approaches

Year: 2025

Type: article

Source: Proceedings of the Institution of Mechanical Engineers Part M Journal of Engineering for the Maritime Environment

DOI: 10.1177/14750902251336505

Authors: Peixiu Han, Shuhui Li, Zhongbo Liu, Zhuo Sun, Chunxin Yan

Institutions: Dalian Maritime University, Fudan University, Maritime Safety Administration of the People's Republic of China

Language: English

Topic: Maritime Transport Emissions and Efficiency

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Climate action, Industry, innovation and infrastructure

Open Access status: closed

Funder: National Natural Science Foundation of China

Awards: 粗粒度海滩横向输沙动力机制及岸滩剖面演化研究, G1524598885, G7925253360

OpenAlex ID: W4411657646

FWCI: 0.571

Cites: 41

Cited by: 2

Related to: 10