Intelligent ocean wave height prediction system using light GBM model
Keywords:Sea wave height, Light GBM, Machine learning, Forecasting, Wave variables
Forecasting the heights of marine waves is an important tool for offshore and coastal engineering and a huge undertaking in marine detection and warning. However, a precise forecast of the Sea Wave Height (SWH) is challenging and outstanding to waves' volatility and fluctuation characteristics. Therefore, our research proposes an Intelligent Ocean Wave Height Prediction system using a light gradient boosting machine learning. Wave speed, peak wave direction, zero up crossing wave period, wave period, and SWH are among the wave-based properties we extract. Then the inputs are fed into the Light GBM, which performs these high-dimensional inputs admirably, and the model is simple to interpret. Furthermore, because LightGBM is noise-insensitive and can work with unnecessary data in time-window-size data, the proposed method can be used to estimate wave height. Consequently, our proposed approach outperforms when compared to the existing techniques.
Copyright StatementCopyright in a work is a bundle of rights. IJoSI's, copyright covers what may be done with the work in terms of making copies, making derivative works, abstracting parts of it for citation or quotation elsewhere and so on. IJoSI requires authors to sign over rights when their article is ready for publication so that the publisher from then on owns the work. Until that point, all rights belong to the creator(s) of the work. The format of IJoSI copy right form can be found at the IJoSI web site.
The issues of International Journal of Systematic Innovation (IJoSI) are published in electronic format and in print. Our website, journal papers, and manuscripts etc. are stored on one server. Readers can have free online access to our journal papers. Authors transfer copyright to the publisher as part of a journal publishing agreement, but have the right to:
1. Share their article for personal use, internal institutional use and scholarly sharing purposes, with a DOI link to the version of record on our server.
2. Retain patent, trademark and other intellectual property rights (including research data).
3. Proper attribution and credit for the published work.