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Nexus between energy usability, economic indicators and environmental sustainability in four asean countries: A non-linear autoregressive exogenous neural network modelling approach

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dc.citedby5
dc.contributor.authorMustapa S.I.en_US
dc.contributor.authorAyodele F.O.en_US
dc.contributor.authorAyodele B.V.en_US
dc.contributor.authorMohammad N.en_US
dc.contributor.authorid36651549700en_US
dc.contributor.authorid57200615209en_US
dc.contributor.authorid56862160400en_US
dc.contributor.authorid57220108757en_US
dc.date.accessioned2023-05-29T08:06:51Z
dc.date.available2023-05-29T08:06:51Z
dc.date.issued2020
dc.description.abstractThis study investigates the use of a non-linear autoregressive exogenous neural network (NARX) model to investigate the nexus between energy usability, economic indicators, and carbon dioxide (CO2) emissions in four Association of South East Asian Nations (ASEAN), namely Malaysia, Thailand, Indonesia, and the Philippines. Optimized NARX model architectures of 5-29-1, 5-19-1, 5-17-1, 5-13-1 representing the input nodes, hidden neurons and the output units were obtained from the series of models configured. Based on the relationship between the input variables, CO2 emissions were predicted with a high correlation coefficient (R) > 0.9. and low mean square errors (MSE) of 3.92 � 10?21, 4.15 � 10?23, 2.02 � 10?19, 1.32 � 10?20 for Malaysia, Thailand, Indonesia, and the Philippines, respectively. Coal consumption has the highest level of influence on CO2 emissions in the four ASEAN countries based on the sensitivity analysis. These findings suggest that government policies in the four ASEAN countries should be more intensified on strategies to reduce CO2 emissions in relationship with the energy and economic indicators. � 2020 by the authors. Licensee MDPI, Basel, Switzerland.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo1529
dc.identifier.doi10.3390/pr8121529
dc.identifier.epage20
dc.identifier.issue12
dc.identifier.scopus2-s2.0-85097030313
dc.identifier.spage1
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85097030313&doi=10.3390%2fpr8121529&partnerID=40&md5=8c059d92817bd13204ce1ae96b991aef
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25121
dc.identifier.volume8
dc.publisherMDPI AGen_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleProcesses
dc.titleNexus between energy usability, economic indicators and environmental sustainability in four asean countries: A non-linear autoregressive exogenous neural network modelling approachen_US
dc.typeArticleen_US
dspace.entity.typePublication
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