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Impact of renewable energy utilization and artificial intelligence in achieving sustainable development goals

Artificial intelligence; Energy policy; Environmental protection; Planning; Sustainable development; Elicited expert; Energy mix; Exponential growth; Global energy; Impact analysis; IS planning; Renewable energies; Renewable energy use; Sharp increase; Sustainable development goal; Energy utilizatio...

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Main Authors: Hannan M.A., Al-Shetwi A.Q., Ker P.J., Begum R.A., Mansor M., Rahman S.A., Dong Z.Y., Tiong S.K., Mahlia T.M.I., Muttaqi K.M.
Other Authors: 7103014445
Format: Article
Published: Elsevier Ltd 2023
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spelling my.uniten.dspace-259222023-05-29T17:05:33Z Impact of renewable energy utilization and artificial intelligence in achieving sustainable development goals Hannan M.A. Al-Shetwi A.Q. Ker P.J. Begum R.A. Mansor M. Rahman S.A. Dong Z.Y. Tiong S.K. Mahlia T.M.I. Muttaqi K.M. 7103014445 57004922700 37461740800 14007780000 6701749037 36609854400 57221211074 15128307800 56997615100 55582332500 Artificial intelligence; Energy policy; Environmental protection; Planning; Sustainable development; Elicited expert; Energy mix; Exponential growth; Global energy; Impact analysis; IS planning; Renewable energies; Renewable energy use; Sharp increase; Sustainable development goal; Energy utilization Many countries around the world are planning to reach 100% renewable energy use by 2050. In this context and due to the recent sharp increase in RE utilization in the global energy mix along with its progressive impact on the world energy sector, the evaluation and investigation of its effect on achieving sustainable development goals are not covered sufficiently. Moreover, an assessment of the emerging role of artificial intelligence for renewable energy utilization toward achieving SDGs is conducted. A total of 17 SDGs were divided into three groups, namely, environment, society, and economy, as per the three key pillars of sustainable development. Renewable energy has a positive impact toward achieving 75 targets across all sustainable development goals by using an expert elicitation method-based consensus. However, it may negatively affect the accomplishment of the 27 targets. In addition, artificial intelligence can help renewable energy enable the attainment of 42 out of 169 targets. However, with the current exponential growth of renewable energy share and artificial intelligence development and addressing certain present limitations, this impact may cover additional targets in the future. Nevertheless, recent research foci overlook essential aspects. The exponential growth of renewable energy share and rapid evolution of artificial intelligence need to be accompanied through the requisite regulatory insight and technology regulation to cover additional targets in the future. � 2021 The Authors Final 2023-05-29T09:05:33Z 2023-05-29T09:05:33Z 2021 Article 10.1016/j.egyr.2021.08.172 2-s2.0-85118571022 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118571022&doi=10.1016%2fj.egyr.2021.08.172&partnerID=40&md5=2e4f1ca28d64035b5fc33b1fa2c67c4a https://irepository.uniten.edu.my/handle/123456789/25922 7 5359 5373 All Open Access, Gold, Green Elsevier Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Artificial intelligence; Energy policy; Environmental protection; Planning; Sustainable development; Elicited expert; Energy mix; Exponential growth; Global energy; Impact analysis; IS planning; Renewable energies; Renewable energy use; Sharp increase; Sustainable development goal; Energy utilization
author2 7103014445
author_facet 7103014445
Hannan M.A.
Al-Shetwi A.Q.
Ker P.J.
Begum R.A.
Mansor M.
Rahman S.A.
Dong Z.Y.
Tiong S.K.
Mahlia T.M.I.
Muttaqi K.M.
format Article
author Hannan M.A.
Al-Shetwi A.Q.
Ker P.J.
Begum R.A.
Mansor M.
Rahman S.A.
Dong Z.Y.
Tiong S.K.
Mahlia T.M.I.
Muttaqi K.M.
spellingShingle Hannan M.A.
Al-Shetwi A.Q.
Ker P.J.
Begum R.A.
Mansor M.
Rahman S.A.
Dong Z.Y.
Tiong S.K.
Mahlia T.M.I.
Muttaqi K.M.
Impact of renewable energy utilization and artificial intelligence in achieving sustainable development goals
author_sort Hannan M.A.
title Impact of renewable energy utilization and artificial intelligence in achieving sustainable development goals
title_short Impact of renewable energy utilization and artificial intelligence in achieving sustainable development goals
title_full Impact of renewable energy utilization and artificial intelligence in achieving sustainable development goals
title_fullStr Impact of renewable energy utilization and artificial intelligence in achieving sustainable development goals
title_full_unstemmed Impact of renewable energy utilization and artificial intelligence in achieving sustainable development goals
title_sort impact of renewable energy utilization and artificial intelligence in achieving sustainable development goals
publisher Elsevier Ltd
publishDate 2023
_version_ 1806426251278155776
score 13.222552

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