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Wasim Iqbal

Researcher at Shenzhen University

Publications -  53
Citations -  2768

Wasim Iqbal is an academic researcher from Shenzhen University. The author has contributed to research in topics: Renewable energy & Medicine. The author has an hindex of 14, co-authored 40 publications receiving 635 citations. Previous affiliations of Wasim Iqbal include Yanshan University.

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Novel approach of Principal Component Analysis method to assess the national energy performance via Energy Trilemma Index

TL;DR: This study presents two-fold contribution to comprehensively formulate all possible preferences under the interval assessment outcomes by employing the interval decision matrix followed by the Principal Component Analysis (PCA) to assess the national energy performance of top ten countries for the year 2015.
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Nexus between energy efficiency and electricity reforms: A DEA-Based way forward for clean power development

TL;DR: In this paper, the impact of energy reforms on energy efficiency was analyzed using data envelopment analysis (DEA) and the difference-in-difference (DID) method.
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Nexus between air pollution and NCOV-2019 in China: Application of negative binomial regression analysis

TL;DR: In this paper, a negative binomial regression (NBR) model was applied to examine the difference between the number of people infected with the novel coronavirus (NCOV-2019) and deaths in China.
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Trilemma assessment of energy intensity, efficiency, and environmental index: evidence from BRICS countries

TL;DR: The results indicate that Brazil and Russia have the highest values of the Environmental Performance Index, which range between 67.44 and 60.70, respectively, while China and India also have the best results.
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Assessment of Wind Energy Potential for the Production of Renewable Hydrogen in Sindh Province of Pakistan

TL;DR: In this article, the authors developed a new hybrid mathematical model that combines wind-speed range with the log law to derive the wind energy potential for wind-generated hydrogen production in Pakistan.