Data analytics for fuel consumption management in maritime transportation: Status and perspectives

R Yan, S Wang, HN Psaraftis - … Part E: Logistics and Transportation Review, 2021 - Elsevier
The shipping industry is associated with approximately three quarters of all world trade. In
recent years, the sustainability of shipping has become a public concern, and various …

Application of group decision making in shipping industry 4.0: bibliometric analysis, trends, and future directions

Y Yang, T Gai, M Cao, Z Zhang, H Zhang, J Wu - Systems, 2023 - mdpi.com
With the development of Internet technologies, the shipping industry has also entered the
Industry 4.0 era, which is the era of using information technology to promote industrial …

Machine learning and data-driven fault detection for ship systems operations

M Cheliotis, I Lazakis, G Theotokatos - Ocean Engineering, 2020 - Elsevier
Well maintained vessels exhibit high reliability, safety and energy efficiency. Even though
machinery failures are inevitable, their occurrence can be foreseen when predictive …

Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship

R Yan, S Wang, Y Du - Transportation Research Part E: Logistics and …, 2020 - Elsevier
Shipping industry is the backbone of global trade. However, the large quantities of
greenhouse gas emissions from shipping, such as carbon dioxide (CO 2), cannot be …

Multiple linear regression analysis and artificial neural networks based decision support system for energy efficiency in shipping

OB Öztürk, E Başar - Ocean Engineering, 2022 - Elsevier
The studies of energy efficiency in shipping have grown in importance in light of recent air
pollution developments. Moreover, the Fourth Greenhouse Gas (GHG) Study of the …

Machine learning method for energy consumption prediction of ships in port considering green ports

Y Peng, H Liu, X Li, J Huang, W Wang - Journal of Cleaner Production, 2020 - Elsevier
Two main contributions of this paper are 1) the energy consumption of ships (ECS) in port is
predicted, 2) reduction strategies for energy consumption of ships in port are discussed by …

[HTML][HTML] Reflecting the uncertainties of ensemble weather forecasts on the predictions of ship fuel consumption

R Vettor, CG Soares - Ocean Engineering, 2022 - Elsevier
This work investigates different methodologies for the prediction of uncertainties related to
ship fuel consumption along a specific route. Ensemble weather forecasts are adopted to …

[HTML][HTML] Advanced data analytics for ship performance monitoring under localized operational conditions

KQ Bui, LP Perera - Ocean Engineering, 2021 - Elsevier
Improving the operational energy efficiency of existing ships is attracting considerable
interests to reduce the environmental footprint due to air emissions. As the shipping industry …

Use of tree based methods in ship performance monitoring under operating conditions

O Soner, E Akyuz, M Celik - Ocean Engineering, 2018 - Elsevier
Monitoring of operational efficiency in ship fleets is a complex maritime problem which
requires an analytical approach in order to provide satisfactory solutions. Since the problem …

Ship fuel consumption monitoring and fault detection via partial least squares and control charts of navigation data

C Capezza, S Coleman, A Lepore, B Palumbo… - … Research Part D …, 2019 - Elsevier
New regulations in the shipping sector aim to give greater transparency to operations and
public access to CO 2 emissions data. EU regulation 2015/757 became mandatory in …