Innovative approaches to addressing the tradeoff between interpretability and accuracy in ship fuel consumption prediction [PDF]
Ship fuel consumption is a major component of maritime transport costs and most of its emissions are harmful to the environment. Hence, it is essential to build an accurate ship fuel consumption prediction model, thereby providing reference to the ...
Lu Zhen, Shuaian Wang, Ran Yan
exaly +3 more sources
Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship [PDF]
Shipping industry is the backbone of global trade. However, the large quantities of greenhouse gas emissions from shipping, such as carbon dioxide (CO2), cannot be ignored. In order to comply with the international environmental regulations as well as to
Yuquan Du, Shuaian Wang
exaly +1 more source
A genetic algorithm-based grey-box model for ship fuel consumption prediction towards sustainable shipping [PDF]
In order to enhance sustainability in maritime shipping, shipping companies spend good efforts in improving the operational energy efficiency of existing ships. Accurate fuel consumption prediction model is a prerequisite of such operational improvements.
Gang Chen +2 more
exaly +2 more sources
A deep learning method for the prediction of ship fuel consumption in real operational conditions [PDF]
| openaire: EC/HE/101096068 /EU//RETROFIT55In recent years, the European Commission and the International Maritime Organization (IMO) implemented various operational measures and policies to reduce ship fuel consumption and related emissions.
Mingyang Zhang +2 more
exaly +2 more sources
Accuracy and applicability of ship's fuel consumption prediction models: A comprehensive comparative analysis [PDF]
The available extensive ship activity data enables employing a complex data-driven resistance-based power model to estimate ship's instantaneous power, and thus the ship's fuel consumption.
Lang Xu, Shuaian Wang, Ran Yan
exaly +2 more sources
Ship fuel consumption prediction based on transfer learning: Models and applications [PDF]
Data-driven fuel consumption rate (FCR) prediction models largely depend on the amount of training data, which can be scarce for new ships with limited operating time.
Mingyang Zhang, Shuaian Wang, Ran Yan
exaly +2 more sources
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