Data-driven modelling of ship propulsion and the effect of data pre-processing on the prediction of ship fuel consumption and speed loss

A novel, data-driven heuristic framework for vessel weather routing

(2020) Christos Gkerekos et al.   OCEAN ENGINEERING

The development of a ship performance model in varying operating conditions based on ANN and regression techniques

(2020) Yasser B.A. Farag et al.   OCEAN ENGINEERING

A novelty detection approach to diagnosing hull and propeller fouling

(2019) Andrea Coraddu et al.   OCEAN ENGINEERING

Data-driven ship digital twin for estimating the speed loss caused by the marine fouling

(2019) Andrea Coraddu et al.   OCEAN ENGINEERING

Machine learning models for predicting ship main engine Fuel Oil Consumption: A comparative study

(2019) Christos Gkerekos et al.   OCEAN ENGINEERING

Statistical modelling of ship operational performance monitoring problem

(2018) Omer Soner et al.   JOURNAL OF MARINE SCIENCE AND TECHNOLOGY

Ship speed prediction based on full scale sensor measurements of shaft thrust and environmental conditions

(2018) Andreas Brandsæter et al.   OCEAN ENGINEERING

Vessels fuel consumption forecast and trim optimisation: A data analytics perspective

(2017) Andrea Coraddu et al.   OCEAN ENGINEERING

Predicting ship fuel consumption based on LASSO regression

(2017) Shengzheng Wang et al.   TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT

An artificial neural network based decision support system for energy efficient ship operations

(2016) E. Bal Beşikçi et al.   COMPUTERS & OPERATIONS RESEARCH

Uncertainty analysis in ship performance monitoring

(2015) L. Aldous et al.   OCEAN ENGINEERING

Statistical modelling for ship propulsion efficiency

(2011) Jóan Petur Petersen et al.   JOURNAL OF MARINE SCIENCE AND TECHNOLOGY

Grey-box modeling of an ocean vessel for operational optimization

(2008) Leifur Þ. Leifsson et al.   SIMULATION MODELLING PRACTICE AND THEORY