A review on rainfall forecasting using ensemble learning techniques
Significant challenges to human health and life have arisen as a result of heavy rains. Floods and other natural disasters that affect people all over the world every year are caused by prolonged periods of heavy rainfall. Predictions of rainfall must be accurate in countries like India where agricu...
Main Authors: | Saranagata Kundu, Saroj Kr. Biswas, Deeksha Tripathi, Rahul Karmakar, Sounak Majumdar, Sudipta Mandal |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-12-01
|
Series: | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2772671123001912 |
Similar Items
-
Prediction of the number of daily active COVID-19 in Indonesia
by: Hedi Hedi, et al.
Published: (2022-09-01) -
Prediction of COVID-19 Data Using Improved ARIMA-LSTM Hybrid Forecast Models
by: Yong-Chao Jin, et al.
Published: (2023-01-01) -
Rainfall Forecast of Merauke Using Autoregressive Integrated Moving Average Model
by: Pasaribu Yenni P., et al.
Published: (2018-01-01) -
Statistical Analysis and Forecasting of Rainfall Patterns and Trends in Gombe North-Eastern Nigeria
by: Abe A. O., et al.
Published: (2022-06-01) -
Stochastic ARIMA model for annual rainfall and maximum temperature forecasting over Tordzie watershed in Ghana
by: Nyatuame Mexoese, et al.
Published: (2018-06-01)