Browsing COVID-19 Research by Author "Zaidan, Esmat"
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The impact of COVID-19 pandemic on electricity consumption and electricity demand forecasting accuracy: Empirical evidence from the state of Qatar
Abulibdeh, Ammar; Zaidan, Esmat; Jabbar, Rateb ( Elsevier Ltd , 2022 , Article)The goal of this study is to use machine-learning (ML) techniques and empirical big data to examine the influence of the COVID-19 pandemic on electricity usage and electricity demand forecasting accuracy in buildings in ... -
Modeling and forecasting electricity consumption amid the COVID-19 pandemic: Machine learning vs. nonlinear econometric time series models
Lanouar, Charfeddine; Zaidan, Esmat; Alban, Ahmad Qadeib; Bennasr, Hamdi; Abulibdeh, Ammar ( Elsevier , 2023 , Article)Accurately modeling and forecasting electricity consumption remains a challenging task due to the large number of the statistical properties that characterize this time series such as seasonality, trend, sudden changes, ...