Rainfall forecasting model using machine learning methods: Case study Terengganu, Malaysia
Rainfall plays a main role in managing the water level in the reservoir. The unpredictable amount of rainfall due to the climate change can cause either overflow or dry in the reservoir. In this study, several models and methods were applied to predict the rainfall data in Tasik Kenyir, Terengganu....
Main Authors: | Wanie M. Ridwan, Michelle Sapitang, Awatif Aziz, Khairul Faizal Kushiar, Ali Najah Ahmed, Ahmed El-Shafie |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2021-06-01
|
Series: | Ain Shams Engineering Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447920302069 |
Similar Items
-
Relation of influencing variables and weather conditions on rainfall partitioning by birch and pine trees
by: Zabret Katarina, et al.
Published: (2021-12-01) -
An intelligent Crop Price Prediction using suitable Machine Learning Algorithm
by: Ghutake Ishita, et al.
Published: (2021-01-01) -
Adaptive boosting of weak regressors for forecasting of crop production considering climatic variability: An empirical assessment
by: Subhadra Mishra, et al.
Published: (2020-10-01) -
Machine learning versus linear regression modelling approach for accurate ozone concentrations prediction
by: Ellysia Jumin, et al.
Published: (2020-01-01) -
Analisis Peramalan Penjualan dan Penggunaan Metode Linear Programming dan Decision Tree Guna Mengoptimalkan Keuntungan pada PT Primajaya Pantes Garment
by: Inti Sariani Jianta Djie
Published: (2013-09-01)