Advance in Significant Wave Height Prediction: A Comprehensive Survey
The significant wave height prediction holds critical value for marine energy development, coastal infrastructure planning, and ensuring safety in maritime operations. The precision of such predictions carries substantial theoretical and practical weight. This survey delivers an exhaustive evaluatio...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2024-12-01
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| Series: | Complex System Modeling and Simulation |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.23919/CSMS.2024.0019 |
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| _version_ | 1841550218262216704 |
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| author | Jinyuan Mo Xianghan Wang Shengjun Huang Rui Wang |
| author_facet | Jinyuan Mo Xianghan Wang Shengjun Huang Rui Wang |
| author_sort | Jinyuan Mo |
| collection | DOAJ |
| description | The significant wave height prediction holds critical value for marine energy development, coastal infrastructure planning, and ensuring safety in maritime operations. The precision of such predictions carries substantial theoretical and practical weight. This survey delivers an exhaustive evaluation and integration of the latest studies and advances in the domain of significant wave height prediction, serving as a methodical guidepost for academicians. The study introduces an all-encompassing predictive framework for significant wave height, which not only integrates diverse established forecasting techniques but also paves the way for novel research trajectories and creative breakthroughs. The framework is structured into four principal layers, i.e., feature selection, basic prediction, data decomposition, and parameter optimization. The ensuing sections meticulously dissect the methodologies within these strata, elucidating their core concepts, distinctive features, merits, and constraints, and their applicability to significant wave height prediction. To wrap up, the study delves into fresh research inquiries and avenues pertinent to the discipline, thereby broadening the comprehension of significant wave height prediction. In essence, this scholarly article imparts critical knowledge beneficial to the realm of marine technology. |
| format | Article |
| id | doaj-art-c5e006470fb0463d8551c0bcdd892f73 |
| institution | Kabale University |
| issn | 2096-9929 2097-3705 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Complex System Modeling and Simulation |
| spelling | doaj-art-c5e006470fb0463d8551c0bcdd892f732025-01-10T06:47:39ZengTsinghua University PressComplex System Modeling and Simulation2096-99292097-37052024-12-014440243910.23919/CSMS.2024.0019Advance in Significant Wave Height Prediction: A Comprehensive SurveyJinyuan Mo0Xianghan Wang1Shengjun Huang2Rui Wang3College of System Engineering, National University of Defense Technology, Changsha 410073, ChinaCollege of System Engineering, National University of Defense Technology, Changsha 410073, ChinaCollege of System Engineering, National University of Defense Technology, Changsha 410073, ChinaCollege of System Engineering, National University of Defense Technology, Changsha 410073, ChinaThe significant wave height prediction holds critical value for marine energy development, coastal infrastructure planning, and ensuring safety in maritime operations. The precision of such predictions carries substantial theoretical and practical weight. This survey delivers an exhaustive evaluation and integration of the latest studies and advances in the domain of significant wave height prediction, serving as a methodical guidepost for academicians. The study introduces an all-encompassing predictive framework for significant wave height, which not only integrates diverse established forecasting techniques but also paves the way for novel research trajectories and creative breakthroughs. The framework is structured into four principal layers, i.e., feature selection, basic prediction, data decomposition, and parameter optimization. The ensuing sections meticulously dissect the methodologies within these strata, elucidating their core concepts, distinctive features, merits, and constraints, and their applicability to significant wave height prediction. To wrap up, the study delves into fresh research inquiries and avenues pertinent to the discipline, thereby broadening the comprehension of significant wave height prediction. In essence, this scholarly article imparts critical knowledge beneficial to the realm of marine technology.https://www.sciopen.com/article/10.23919/CSMS.2024.0019significant wave height predictionfeature selectiondata decompositionparameter optimization |
| spellingShingle | Jinyuan Mo Xianghan Wang Shengjun Huang Rui Wang Advance in Significant Wave Height Prediction: A Comprehensive Survey Complex System Modeling and Simulation significant wave height prediction feature selection data decomposition parameter optimization |
| title | Advance in Significant Wave Height Prediction: A Comprehensive Survey |
| title_full | Advance in Significant Wave Height Prediction: A Comprehensive Survey |
| title_fullStr | Advance in Significant Wave Height Prediction: A Comprehensive Survey |
| title_full_unstemmed | Advance in Significant Wave Height Prediction: A Comprehensive Survey |
| title_short | Advance in Significant Wave Height Prediction: A Comprehensive Survey |
| title_sort | advance in significant wave height prediction a comprehensive survey |
| topic | significant wave height prediction feature selection data decomposition parameter optimization |
| url | https://www.sciopen.com/article/10.23919/CSMS.2024.0019 |
| work_keys_str_mv | AT jinyuanmo advanceinsignificantwaveheightpredictionacomprehensivesurvey AT xianghanwang advanceinsignificantwaveheightpredictionacomprehensivesurvey AT shengjunhuang advanceinsignificantwaveheightpredictionacomprehensivesurvey AT ruiwang advanceinsignificantwaveheightpredictionacomprehensivesurvey |