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Ship fuel consumption prediction based on transfer learning: Models and applications

Engineering Applications of Artificial Intelligence
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. To tackle this issue, we implement three transfer learning strategies to leverage knowledge from another seven container ships to construct artificial neural network (ANN)-based FCR ...
Mingyang Zhang, Shuaian Wang, Ran Yan
exaly   +4 more sources

AI-Based Surrogate Model for the Prediction of Ship Fuel Consumption Reflecting Hydrometeorological Conditions

Volume 9: Philip Liu Honoring Symposium on Water Wave Mechanics and Hydrodynamics; Blue Economy Symposium
Abstract Accurate prediction of ship fuel consumption is essential for optimizing ship performance and minimizing environmental impact. This study presents the development and validation of an artificial intelligence (AI)-based surrogate model specifically designed to predict Ship Fuel Consumption (SFC) in the case of a bulk carrier. The
Mingyang Zhang, Nikolaos Tsoulakos, Pentti Kujala, Spyros Hirdaris   +3 more
openaire   +2 more sources

Innovative approaches to addressing the tradeoff between interpretability and accuracy in ship fuel consumption prediction [PDF]

Transportation Research Part C: Emerging Technologies, 2023
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   +2 more sources

Analysis of uncertainties in the prediction of ships’ fuel consumption – from early design to operation conditions [PDF]

Ships and Offshore Structures, 2018
This investigation presents an approach that contributes to a better understanding of achievable accuracy of fuel consumption predictions of ships and provides an example of how a thorough uncertainty analysis of prediction models can be performed.
Jonas Ringsberg, Wengang Mao, Fabian Tillig   +2 more
exaly   +2 more sources

Prediction of Ship Fuel Consumption Based on Broad Learning System

2019 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC), 2019
With the increasing attention of IMO to green shipping, and the increasingly strict restrictions on fuel regulatory and operating costs of shipping enterprises, no matter from the perspective of energy conservation and environmental protection or operating economy, ships should be put into actual operations in the future with lower fuel consumption and
Xinyu Li, Yongjie Zhu, Yi Zuo 0001, Tieshan Li, C. L. Philip Chen   +4 more
openaire   +2 more sources

Predicting ship fuel consumption based on LASSO regression

Transportation Research Part D: Transport and Environment, 2018
Abstract During the voyage, predicting fuel consumption of ships under different sea-states and weather conditions has been a challenging and far-reaching topic, because there are a great number of feature variables affecting the fuel consumption, including main-engine status, cargo weight, ship draft, sea-states and weather conditions, etc.
Shengzheng Wang, Baoxian Ji, Jiansen Zhao, Wei Liu, Tie Xu   +4 more
openaire   +1 more source

A Procedure for Predicting and Controlling the Ship Fuel Consumption: Its Implementation and Test

Quality and Reliability Engineering International, 2015
In light of the International Maritime Organization guidelines, the new Regulation of the European Union urges shipping companies to set up a system for monitoring, reporting and verification of CO2 emissions based on ship fuel consumption. However, in nowadays market, there is a lack of techniques for fuel consumption monitoring that can be adopted in
ERTO, PASQUALE, LEPORE, ANTONIO, PALUMBO, BIAGIO, VITIELLO, LUIGI   +3 more
openaire   +2 more sources

Cloud-Based IoT Solution for Predictive Modeling of Ship Fuel Consumption

Proceedings of the 2019 8th International Conference on Software and Computer Applications, 2019
The need for savings in ship fuel consumption has led to the proliferation of various cloud-based service-oriented approach towards predicting and optimizing ship operation. However, majority of the cloud-based services are generally designed for general purpose prediction where ship owners do not have the liberty to select and customize machine ...
Keh-Kim Kee, Simon Boung-Yew Lau
openaire   +1 more source

Accuracy and applicability of ship's fuel consumption prediction models: A comprehensive comparative analysis

Energy
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

Predicting Ship Fuel Consumption based on LSTM Neural Network

2020 7th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS), 2020
With the rapid development of marine trade and transportation, a large number of ships sail at sea. The ship energy conservation and environment protection are becoming public interested problems. Precise prediction of ship fuel consumption is vital for controlling emissions from ships.
Yongjie Zhu, Yi Zuo, Tieshan Li
openaire   +1 more source