A Data-Driven Intelligent Energy Efficiency Management System for Ships
Author:
Affiliation:
1. Merchant Marine College, Shanghai Maritime University, Shanghai, China
2. School of Economics and Management, Shanghai Maritime University, Shanghai, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shanghai
Shanghai Engineering Research Center of Ship Intelligent Maintenance and Energy Efficiency
Key Project of the National Social and Scientific Fund Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/5117645/10015073/09734741.pdf?arnumber=9734741
Reference52 articles.
1. Real-time optimization of ship energy efficiency based on the prediction technology of working condition
2. Study on route division for ship energy efficiency optimization based on big environment data
3. Prediction of Fuel Consumption for Enroute Ship Based on Machine Learning
4. Dynamic optimization of ship energy efficiency considering time-varying environmental factors
5. Discriminant adaptive nearest neighbor classification
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Federated Learning for Maritime Environments: Use Cases, Experimental Results, and Open Issues;Journal of Marine Science and Engineering;2024-06-20
2. Data Collection System Based on Self-Organizing Network using BeiDou System for Ship Power Transmission Analysis;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23
3. An overview of seafarers’ engagement and training on energy efficient operation of ships;Marine Policy;2024-02
4. Sailing Towards Sustainability: How Seafarers Embrace New Work Cultures for Energy Efficient Ship Operations in Maritime Industry;Procedia Computer Science;2024
5. Cost‐effective secondary voltage control in dc shipboard integrated power system;IET Power Electronics;2023-11-09
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3