Prediction of Rainfall Trends Using Forecasting Approaches Based on Singular Spectrum Analysis

• Main Authors: Kismiantini, Kismiantini, Shazlyn Milleana Shaharudin, Shazlyn Milleana Shaharudin, Ezra Putranda Setiawan, Ezra Putranda Setiawan, Dhoriva Urwatul Wutsqa, Dhoriva Urwatul Wutsqa, Muhamad Afdal Ahmad Basri, Muhamad Afdal Ahmad Basri, Hairulnizam Mahdin, Hairulnizam Mahdin, Salama A. Mostafa, Salama A. Mostafa
• 格式: Article
• 語言: English
• 出版: ASPG 2024
• 主題: T Technology (General)
• 在線閱讀: http://eprints.uthm.edu.my/10922/1/J17378_58cd2d6376f481e780a1563554d90cfa.pdf; http://eprints.uthm.edu.my/10922/; https://doi.org/10.54216/JISIoT.110104

Advanced technologies such as the Internet of Things provide an integrated platform for weather focusing, including rainfall and flood prediction. Large rainfall data frequently contain noise, which can be difficult to analyze using a standard time series model due to violated assumptions. Singular...