Establishing hybrid deep learning models for regional daily rainfall time series forecasting in the United Kingdom-Reference-Cited by-同舟云学术

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Establishing hybrid deep learning models for regional daily rainfall time series forecasting in the United Kingdom

Published:2024-07 Issue: Volume:133 Page:108581
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Thottungal Harilal Geethu^ORCID,Dixit Aniket,Quattrone Giovanni

Funder

National Aeronautics and Space Administration

Publisher

Elsevier BV

Reference56 articles.

1. Deep learning models for the prediction of rainfall;Aswin,2018

2. Meteorological data forecast using RNN;Balluff,2020

3. Rainfall prediction: A comparative analysis of modern machine learning algorithms for time-series forecasting;Barrera-Animas;Mach. Learn. Appl.,2022

4. Statistical modelling of 2 m temperature and 10 m wind speed forecast errors;Ben Bouallègue;Mon. Weather. Rev,2022

5. Research on real-time local rainfall prediction based on MEMS sensors;Chao;J. Sens.,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Real-Time Rain Prediction in Agriculture using AI and IoT: A Bi-Directional LSTM Approach;Engineering, Technology & Applied Science Research;2024-08-02

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