Long term time series analysis and prediction of waves at Hainan offshore zone based on Prophet algorithm

Huang Xinyu; Tang Jun; Wang Xiaoyu

doi:10.12284/hyxb2022086

Volume 44 Issue 4

Apr. 2022

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Huang Xinyu，Tang Jun，Wang Xiaoyu. Long term time series analysis and prediction of waves at Hainan offshore zone based on Prophet algorithm[J]. Haiyang Xuebao，2022, 44(4)：114–121 doi: 10.12284/hyxb2022086

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Long term time series analysis and prediction of waves at Hainan offshore zone based on Prophet algorithm

doi: 10.12284/hyxb2022086

Huang Xinyu^1
,,
Tang Jun^{1
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Wang Xiaoyu¹

State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116023, China

Received Date: 2021-07-21
Rev Recd Date: 2021-10-30
Publish Date: 2022-04-14

Abstract

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.
- coast and offshore,
- water wave,
- Prophet algorithm,
- big data,
- artificial intelligence

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References(18)

References

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