Prediction and optimisation of fuel consumption for inland ships considering real-time status and environmental factors
出版年份 2020 全文链接
标题
Prediction and optimisation of fuel consumption for inland ships considering real-time status and environmental factors
作者
关键词
Inland ship, Fuel consumption, Data-driven modelling, Optimisation, LSTM, RSSA
出版物
OCEAN ENGINEERING
Volume 221, Issue -, Pages 108530
出版商
Elsevier BV
发表日期
2020-12-31
DOI
10.1016/j.oceaneng.2020.108530
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Genetic Algorithm Based Design Optimization of a Passive Anti-Roll Tank in a Sea Going Vessel
- (2020) Rahul Subramanian et al. OCEAN ENGINEERING
- A wavelet - Particle swarm optimization - Extreme learning machine hybrid modeling for significant wave height prediction
- (2020) Mosbeh R. Kaloop et al. OCEAN ENGINEERING
- Two-phase optimal solutions for ship speed and trim optimization over a voyage using voyage report data
- (2019) Yuquan Du et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Global impacts of recent IMO regulations on marine fuel oil refining processes and ship emissions
- (2019) Thuy Chu Van et al. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
- Machine learning estimates of plug-in hybrid electric vehicle utility factors
- (2019) David Goebel et al. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
- Machine learning models for predicting ship main engine Fuel Oil Consumption: A comparative study
- (2019) Christos Gkerekos et al. OCEAN ENGINEERING
- Optimal vessel speed and fleet size for industrial shipping services under the emission control area regulation
- (2019) Dian Sheng et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- An improved recurrent neural network for unmanned underwater vehicle online obstacle avoidance
- (2019) Changjian Lin et al. OCEAN ENGINEERING
- End-to-end navigation for Autonomous Underwater Vehicle with Hybrid Recurrent Neural Networks
- (2019) Xiaokai Mu et al. OCEAN ENGINEERING
- Model of speed optimization of oil tanker with irregular winds and waves for given route
- (2018) Xiaohe Li et al. OCEAN ENGINEERING
- Integrating multi-source maritime information to estimate ship exhaust emissions under wind, wave and current conditions
- (2018) Liang Huang et al. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
- Identifying Brain Networks at Multiple Time Scales via Deep Recurrent Neural Network
- (2018) Yan Cui et al. IEEE Journal of Biomedical and Health Informatics
- LSTM network: a deep learning approach for short-term traffic forecast
- (2017) Zheng Zhao et al. IET Intelligent Transport Systems
- 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
- A multiple ship routing and speed optimization problem under time, cost and environmental objectives
- (2017) M. Wen 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
- Toward a More Realistic, Cost-Effective, and Greener Ground Movement Through Active Routing: A Multiobjective Shortest Path Approach
- (2016) Jun Chen et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Imprecise knowledge based design and development of titanium alloys for prosthetic applications
- (2016) S. Datta et al. Journal of the Mechanical Behavior of Biomedical Materials
- Real-time optimization of ship energy efficiency based on the prediction technology of working condition
- (2016) Kai Wang et al. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
- Multiobjective optimal design of friction stir welding considering quality and cost issues
- (2015) Q. Zhang et al. SCIENCE AND TECHNOLOGY OF WELDING AND JOINING
- Maritime routing and speed optimization with emission control areas
- (2015) Kjetil Fagerholt et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Ship speed optimization: Concepts, models and combined speed-routing scenarios
- (2014) Harilaos N. Psaraftis et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Sailing speed optimization for container ships in a liner shipping network
- (2012) Shuaian Wang et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
- A nature-inspired multi-objective optimisation strategy based on a new reduced space searching algorithm for the design of alloy steels
- (2010) Qian Zhang et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Reducing fuel emissions by optimizing speed on shipping routes
- (2009) K Fagerholt et al. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
- Grey-box modeling of an ocean vessel for operational optimization
- (2008) Leifur Þ. Leifsson et al. SIMULATION MODELLING PRACTICE AND THEORY
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started