Linking Singular Spectrum Analysis and Machine Learning for Monthly Rainfall Forecasting

Linking Singular Spectrum Analysis and Machine Learning for Monthly Rainfall Forecasting

Monthly rainfall forecasts can be translated into monthly runoff predictions that could support water resources planning and management activities. Therefore, development of monthly rainfall forecasting models in reservoir watersheds is essential for generating future rainfall amounts as an input to...

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Bibliographic Details
Main Authors: Pa Ousman Bojang, Tao-Chang Yang, Quoc Bao Pham, Pao-Shan Yu
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Applied Sciences
Subjects:
rainfall forecasting
machine learning
least square support vector regression
random forests
singular spectrum analysis
Online Access:https://www.mdpi.com/2076-3417/10/9/3224

Internet

https://www.mdpi.com/2076-3417/10/9/3224

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