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基于Prophet算法的海南近海波浪长时段时序分析与预测
引用本文:黄心裕,唐军,王晓宇.基于Prophet算法的海南近海波浪长时段时序分析与预测[J].海洋学报,2022,44(4):114-121.
作者姓名:黄心裕  唐军  王晓宇
作者单位:大连理工大学 海岸和近海工程国家重点实验室,辽宁 大连 116023
基金项目:国家重点研发计划(2022YFE0104500);;国家自然科学基金(51579036);
摘    要:近年来,以大数据为基础的人工智能算法逐步兴起并被用于海洋波浪短期预测.本文采用2015-2019年海南近海逐时波浪实测时序数据,基于Prophet算法建立了海南近海波浪长时段时序预测模型,分析了2015-2019年海南近海波浪日、月、年变化特性,并对海南近海2020年波浪变化过程进行了预测.结果显示,Prophet算法...

关 键 词:海岸和近海  波浪  Prophet算法  大数据  人工智能
收稿时间:2021-07-21

Long term time series analysis and prediction of waves at Hainan offshore zone based on Prophet algorithm
Huang Xinyu,Tang Jun,Wang Xiaoyu.Long term time series analysis and prediction of waves at Hainan offshore zone based on Prophet algorithm[J].Acta Oceanologica Sinica (in Chinese),2022,44(4):114-121.
Authors:Huang Xinyu  Tang Jun  Wang Xiaoyu
Institution:State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116023, China
Abstract:In recent years, various artificial intelligence algorithms based on big data have gradually emerged and have been applied in short-term time series wave forecasting. Based on the measured time series data of hourly waves in Hainan offshore from 2015 to 2019, a prediction model for long-term time series waves of Hainan offshore based on Prophet algorithm is established in this paper. The daily, monthly and annual variation characteristics of waves in Hainan offshore from 2015 to 2019 are analyzed, and the waves in Hainan offshore in 2020 are predicted. The results show that the predicted values of wave height and period by prophet algorithm model are in good agreement with the measured values. Prophet algorithm model can be effectively used for long-term wave characteristic analysis and time series prediction.
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