Investigation of ship energy consumption based on neural network

Y Shu, B Yu, W Liu, T Yan, Z Liu, L Gan, J Yin… - Ocean & Coastal …, 2024 - Elsevier
Due to fuel price fluctuations and greenhouse gas emissions caused by international
shipping, the reduction of ship fuel consumption is important. In this paper, a ship energy …

Prediction of fuel consumption for enroute ship based on machine learning

Z Hu, Y Jin, Q Hu, S Sen, T Zhou, MT Osman - IEEE Access, 2019 - ieeexplore.ieee.org
Due to the hike in fuel price and environmental awareness by the International Maritime
Organization, more attention has been given in order to optimize the fuel consumption of …

Research on the Speed Optimization Model Based on BP Neural Network and Genetic Algorithm (GA)

H Lin, S Chen, L Luo, Z Wang, Y Zeng - ISOPE International Ocean and …, 2019 - onepetro.org
In this paper, a larger number of data was adopted, which is collected during the operation
the 20000t Jianghai direct bulk carrier ship sailing on the Zhoushan Maanshan route. The …

Energy consumption optimization of Inland sea ships based on operation data and ensemble learning

J Gao, M Chi, Z Hu - Mathematical Problems in Engineering, 2022 - Wiley Online Library
Global warming, environmental pollution, and the soaring cost of energy consumption for
ships have drawn the attention of the International Maritime Organization and the shipping …

Machine learning approach to ship fuel consumption: A case of container vessel

T Uyanık, Ç Karatuğ, Y Arslanoğlu - Transportation Research Part D …, 2020 - Elsevier
An improvement of the marine vessel's fuel consumption will provide efficiency and
profitability in ship management since fuel cost is one of the biggest operating cost …

A novel GA-LSTM-based prediction method of ship energy usage based on the characteristics analysis of operational data

K Wang, Y Hua, L Huang, X Guo, X Liu, Z Ma, R Ma… - Energy, 2023 - Elsevier
Optimization of ship energy efficiency is an efficient measure to decrease fuel usage and
emissions in the shipping industry. The accurate prediction model of ship energy usage is …

Evaluation of main engine energy efficiency based on BP neural network

C Weinan, H Lianzhong, Z Yong, LU Tong - 中国舰船研究, 2018 - zgjcyj.xml-journal.net
Objectives During the voyage of a ship, the operating parameters of the ship and its main
engine need to be analyzed so as to objectively judge the current working state of the main …

[PDF][PDF] Comparison of using artificial neural network and Gaussian process in ship energy consumption evaluation

J Yuan, S Wei - … Transactions on Environment, Energy and Earth …, 2018 - scholar.archive.org
Shipping is a major transportation mode over the world, which also contributes a large
proportion of the global CO2 emissions. In order to better control the shipping emissions, it is …

[HTML][HTML] Prediction of ship power based on variation in deep feed-forward neural network

JB Lee, MI Roh, KS Kim - International Journal of Naval Architecture and …, 2021 - Elsevier
Fuel oil consumption (FOC) must be minimized to determine the economic route of a ship;
hence, the ship power must be predicted prior to route planning. For this purpose, a …

[HTML][HTML] Electric consumption forecast for ships using multivariate Bayesian optimization-SE-CNN-LSTM

JY Kim, JS Oh - Journal of Marine Science and Engineering, 2023 - mdpi.com
Many studies on reducing greenhouse gas emissions from ships have been conducted to
reduce environmental pollution. Reducing the fuel oil consumption of traditional and green …