Literature Review on Integrating Generalized Space-Time Autoregressive Integrated Moving Average (GSTARIMA) and Deep Neural Networks in Machine Learning for Climate Forecasting

Literature Review on Integrating Generalized Space-Time Autoregressive Integrated Moving Average (GSTARIMA) and Deep Neural Networks in Machine Learning for Climate Forecasting

The issue of climate change holds immense significance, affecting various aspects of life, including the environment, the interaction between soil conditions and the atmosphere, and agriculture. Over the past few decades, a range of spatio-temporal and Deep Neural Network (DNN) techniques had been p...

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Bibliographic Details
Main Authors: Devi Munandar, Budi Nurani Ruchjana, Atje Setiawan Abdullah, Hilman Ferdinandus Pardede
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Mathematics
Subjects:
integration
GSTARIMA
deep neural network
data analytics lifecycle
forecasting
climate
Online Access:https://www.mdpi.com/2227-7390/11/13/2975

Internet

https://www.mdpi.com/2227-7390/11/13/2975

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