Spatiotemporal analysis of water-electricity consumption in the context of the COVID-19 pandemic across six socioeconomic sectors in Doha City, Qatar
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DOI: 10.1016/j.apenergy.2021.117864
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- Zhiang Zhang & Ali Cheshmehzangi & Saeid Pourroostaei Ardakani, 2021. "A Data-Driven Clustering Analysis for the Impact of COVID-19 on the Electricity Consumption Pattern of Zhejiang Province, China," Energies, MDPI, vol. 14(23), pages 1-22, December.
- Costa, Vinicius B.F. & Pereira, Lígia C. & Andrade, Jorge V.B. & Bonatto, Benedito D., 2022. "Future assessment of the impact of the COVID-19 pandemic on the electricity market based on a stochastic socioeconomic model," Applied Energy, Elsevier, vol. 313(C).
- Ghofrani, Ali & Zaidan, Esmat & Abulibdeh, Ammar, 2022. "Simulation and impact analysis of behavioral and socioeconomic dimensions of energy consumption," Energy, Elsevier, vol. 240(C).
- Abulibdeh, Ammar, 2022. "Time series analysis of environmental quality in the state of Qatar," Energy Policy, Elsevier, vol. 168(C).
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Keywords
Water-electricity consumption; Socioeconomic sectors; Spatial modeling; Statistical modeling; Qatar;All these keywords.
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