A review on COVID-19 forecasting models

I Rahimi, F Chen, AH Gandomi - Neural Computing and Applications, 2023 - Springer
Abstract The novel coronavirus (COVID-19) has spread to more than 200 countries
worldwide, leading to more than 36 million confirmed cases as of October 10, 2020. As such …

Autoregressive models in environmental forecasting time series: a theoretical and application review

J Kaur, KS Parmar, S Singh - Environmental Science and Pollution …, 2023 - Springer
Though globalization, industrialization, and urbanization have escalated the economic
growth of nations, these activities have played foul on the environment. Better understanding …

Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short-term memory neural network

J Duan, P Wang, W Ma, X Tian, S Fang, Y Cheng… - Energy, 2021 - Elsevier
Nowadays, various wind power forecasting methods have been developed to improve wind
power utilization. Most of these techniques are designed based on the mean square error …

Spatio-temporal estimation of the daily cases of COVID-19 in worldwide using random forest machine learning algorithm

CM Yeşilkanat - Chaos, Solitons & Fractals, 2020 - Elsevier
Novel Coronavirus pandemic, which negatively affected public health in social,
psychological and economical terms, spread to the whole world in a short period of 6 …

Deep learning via LSTM models for COVID-19 infection forecasting in India

R Chandra, A Jain, D Singh Chauhan - PloS one, 2022 - journals.plos.org
The COVID-19 pandemic continues to have major impact to health and medical
infrastructure, economy, and agriculture. Prominent computational and mathematical models …

Deep learning-based forecasting model for COVID-19 outbreak in Saudi Arabia

AH Elsheikh, AI Saba, M Abd Elaziz, S Lu… - Process Safety and …, 2021 - Elsevier
COVID-19 outbreak has become a global pandemic that affected more than 200 countries.
Predicting the epidemiological behavior of this outbreak has a vital role to prevent its …

Uncovering the impact of the COVID-19 pandemic on energy consumption: New insight from difference between pandemic-free scenario and actual electricity …

Q Wang, S Li, F Jiang - Journal of Cleaner Production, 2021 - Elsevier
The existing measurement of the impact of the COVID-19 pandemic on energy consumption
is based on changes between the years, which demonstrates the changes in energy …

Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables

RG Da Silva, MHDM Ribeiro, VC Mariani… - Chaos, Solitons & …, 2020 - Elsevier
The novel coronavirus disease (COVID-19) is a public health problem once according to the
World Health Organization up to June 24th, 2020, more than 9.1 million people were …

An overview of forecast analysis with ARIMA models during the COVID-19 pandemic: Methodology and case study in Brazil

R Ospina, JAM Gondim, V Leiva, C Castro - Mathematics, 2023 - mdpi.com
This comprehensive overview focuses on the issues presented by the pandemic due to
COVID-19, understanding its spread and the wide-ranging effects of government-imposed …

Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review

JI Khan, J Khan, F Ali, F Ullah, J Bacha, S Lee - Ieee Access, 2022 - ieeexplore.ieee.org
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …