研究论文
Comprehensive evaluation of machine learning models for predicting ship energy consumption based on onboard sensor data
Ailong Fan, Yingqi Wang, Yang Liu, Xiaolong Tu, Jian Yang, Yaqing Shu
Wuhan University of Technology China Ocean Shipping (China)
来源Ocean & Coastal Management
年份2023
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69
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5.45
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学术脉络
学科主题
物理Maritime Transport Emissions and Efficiency
Technical Engine Diagnostics and Monitoring · Maritime Navigation and Safety
参考文献 39
Classification and Regression by randomForest
被引 18,589Andy I. Liaw, Matthew C. Wiener · 2007
Classification and Regression Trees.
被引 23,834A. D. Gordon, Leo Breiman, Jerome H. Friedman · Biometrics · 1984
A Machine-Learning Approach to Predict Main Energy Consumption under Realistic Operational Conditions
被引 86Jóan Petur Petersen, Ole Winther, Daniel J. Jacobsen · Ship Technology Research · 2012
此处列出前 3 条
引用本文 69
Accuracy and applicability of ship's fuel consumption prediction models: A comprehensive comparative analysis
被引 55Xi Luo, Ran Yan, Lang Xu · Energy · 2024
A novel grey box model for ship fuel consumption prediction adapted to complex navigating conditions
被引 44Ailong Fan, Yifu Wang, Yang Liu · Energy · 2025
Who predicts better? A comparison of machine learning and econometrics in forecasting CO2 emissions from global shipping
被引 42Lang Xu, Jiyuan Wu, Ran Yan · Energy · 2025
按被引量排序，此处列出前 3 条