Work

Prediction of fuel consumption for operational ships based on an improved CNN–BiLSTM–Attention model

Year: 2026

Type: article

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

DOI: 10.1177/14750902261431787

Authors: Yancheng Zhang, Guomei Chang, Gaoyuan Zhu, Yunchao Liu, Xiaoxuan Yin, Bo Zhang, Dezhi Jiang, Zhixiong Li

Institutions: Ocean University of China, China State Shipbuilding (China), Opole University of Technology

Language: English

Topic: Maritime Transport Emissions and Efficiency

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G3950808268

OpenAlex ID: W7142608197

FWCI:

Cites: 46

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