Using artificial neural networks for predicting ship fuel consumption

S Rajamohan, K Rudzki, J Kozak, P Sharma… - Polish Maritime …, 2023 - sciendo.com
In marine vessel operations, fuel costs are major operating costs which affect the overall
profitability of the maritime transport industry. The effective enhancement of using ship fuel …

Big data analytics and machine learning of harbour craft vessels to achieve fuel efficiency: A review

ZY Tay, J Hadi, F Chow, DJ Loh… - Journal of Marine Science …, 2021 - mdpi.com
The global greenhouse gas emitted from shipping activities is one of the factors contributing
to global warming; thus, there is an urgent need to mitigate the adverse effect of climate …

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 …

Use of artificial neural networks to predict fuel consumption on the basis of technical parameters of vehicles

J Ziółkowski, M Oszczypała, J Małachowski… - Energies, 2021 - mdpi.com
This publication presents a multi-faceted analysis of the fuel consumption of motor vehicles
and the way human impacts the environment, with a particular emphasis on the passenger …

Prediction of harbour vessel fuel consumption based on machine learning approach

ZS Chen, JSL Lam, Z Xiao - Ocean Engineering, 2023 - Elsevier
Fuel consumption influences both the economic and environmental perspectives of
shipping. With the help of machine learning, meaningful knowledge and complex …

Revolutionizing low-carbon marine transportation: Prediction of wave energy via adaptive neuro-fuzzy inference framework in East China Sea

M Abbas, D Zhang - Arabian Journal for Science and Engineering, 2023 - Springer
Carbon neutrality hinges on effectively harnessing renewable energy sources, a critical
factor as countries worldwide enact low-carbon legislation to mitigate global warming. In this …

Fuel Consumption Prediction and Optimization Model for Pure Car/Truck Transport Ships

M Su, Z Su, S Cao, KS Park, SH Bae - Journal of Marine Science and …, 2023 - mdpi.com
Predicting and optimizing ship fuel use is a crucial technology for lowering greenhouse gas
emissions. Unfortunately, existing research is rarely capable of developing fuel consumption …

Tiered prediction models for port vessel emissions inventories

P Cammin, J Yu, S Voß - Flexible Services and Manufacturing Journal, 2023 - Springer
Albeit its importance, a large number of port authorities do not provide continuous or publicly
available air emissions inventories (EIs) and thereby obscure the emissions contribution of …

[HTML][HTML] Achieving fuel efficiency of harbour craft vessel via combined time-series and classification machine learning model with operational data

J Hadi, D Konovessis, ZY Tay - Maritime Transport Research, 2022 - Elsevier
This paper presents work on forecasting the fuel consumption rate of a harbour craft vessel
through the combined time-series and classification prediction modelling. This study utilizes …

Unravelling oceanic wave patterns: A comparative study of machine learning approaches for predicting significant wave height

M Abbas, Z Min, Z Liu, D Zhang - Applied Ocean Research, 2024 - Elsevier
Predicting significant wave height (SWH) is critical to ocean engineering, navigation, and
renewable energy harvesting. This study comprehensively analyzes several machine …