Rainfall forecasting model using machine learning methods: Case study Terengganu, Malaysia
Climate change; Decision trees; Machine learning; Reservoirs (water); Water levels; Weather forecasting; Autocorrelation functions; Boosted decision trees; Coefficient of determination; Comparative studies; Forecasting modeling; Hyper-parameter; Machine learning methods; Rainfall forecasting; Rain
Saved in:
Main Authors: | Ridwan W.M., Sapitang M., Aziz A., Kushiar K.F., Ahmed A.N., El-Shafie A. |
---|---|
Other Authors: | 57218502036 |
Format: | Article |
Published: |
Ain Shams University
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Rainfall forecasting model using machine learning methods: Case study Terengganu, Malaysia
by: Ridwan, Wanie M., et al.
Published: (2021) -
Machine learning application in reservoir water level forecasting for sustainable hydropower generation strategy
by: Sapitang M., et al.
Published: (2023) -
Groundwater level as an input to monthly predicting of water level using various machine learning algorithms
by: Sapitang M., et al.
Published: (2023) -
Developing machine learning algorithms for meteorological temperature and humidity forecasting at Terengganu state in Malaysia
by: Hanoon M.S., et al.
Published: (2023) -
Developing machine learning algorithms for meteorological temperature and humidity forecasting at Terengganu state in Malaysia
by: Hanoon, Marwah Sattar, et al.
Published: (2021)