Computational Data Analysis on Global Energy and COVID-19 Pandemic

Computational Data Analysis on Global Energy and COVID-19 Pandemic

Автор: Momina Shaheen, Muhammad Junaid Anjum, Faizan Ahmad, Aimen Anum

Журнал: International Journal of Information Engineering and Electronic Business @ijieeb

Статья в выпуске: 6 vol.15, 2023 года.

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A global consumption of energy is primarily met by the renewable and non-renewable energy production resources. It is necessary to understand the pattern of global energy consumption in past to refine the overall energy policy for an upcoming demand of the energy market. The consumption of energy and its insights are helpful for grid management and forecasting. This paper presents the consumption of renewable and non-renewable energy resources by different nations and presents the analysis of the impact of COVID19 pandemic over the consumption of Energy. From the detailed analysis in this study, it is evident that all countries are shifting their interest to use renewable sources of energy generation. The global consumption of energy was constantly increasing up to 4% each year for three decades (1990 to 2020). However, during COVID-19 outbreak, energy consumption shows a downward trend in 2020 to -4%, which is twice lower than the decrement of energy consumption observed 2008-2009 economic crisis. The COVID-19 pandemic has seriously affected energy consumption of all countries in the world.

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COVID-19, energy generation, renewable, statistical methods

Короткий адрес: https://sciup.org/15018890

IDR: 15018890   |   DOI: 10.5815/ijieeb.2023.06.01

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