The impact of COVID-19 pandemic on electricity consumption and electricity demand forecasting accuracy: Empirical evidence from the state of Qatar

The impact of COVID-19 pandemic on electricity consumption and electricity demand forecasting accuracy: Empirical evidence from the state of Qatar

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 Qatar over time and across sectors. Furthermore, this study statistically invest...

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Bibliographic Details
Main Authors: Ammar Abulibdeh, Esmat Zaidan, Rateb Jabbar
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Strategy Reviews
Subjects:
COVID-19
Electricity consumption
Machine learning
Simulation
Qatar
Online Access:http://www.sciencedirect.com/science/article/pii/S2211467X22001742

Internet

http://www.sciencedirect.com/science/article/pii/S2211467X22001742

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