2020
DOI: 10.1002/er.5729
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A bibliometric review on the application of fuzzy optimization to sustainable energy technologies

Abstract: Sustainable energy production has been one of the contemporary concerns of

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Cited by 36 publications
(17 citation statements)
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References 92 publications
(68 reference statements)
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“…Andreo-Martínez et al 18 performed a descriptive bibliometric study to observe the science production of pesticide residues in honey. In the energy area, Arriola et al 19 analyzed the progress of the research on energy and sustainability, which utilizes a fuzzy optimization approach. Jiménez-Castro et al 20 elucidated the bioenergy production from orange agro-industrial residues, highlighting the use of anaerobic digestion technology to produce methane-rich biogas.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Andreo-Martínez et al 18 performed a descriptive bibliometric study to observe the science production of pesticide residues in honey. In the energy area, Arriola et al 19 analyzed the progress of the research on energy and sustainability, which utilizes a fuzzy optimization approach. Jiménez-Castro et al 20 elucidated the bioenergy production from orange agro-industrial residues, highlighting the use of anaerobic digestion technology to produce methane-rich biogas.…”
Section: Introductionmentioning
confidence: 99%
“…performed a descriptive bibliometric study to observe the science production of pesticide residues in honey. In the energy area, Arriola et al 19 . analyzed the progress of the research on energy and sustainability, which utilizes a fuzzy optimization approach.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, the "mapping knowledge domains" has gradually become a core method in bibliometric analyses [20][21][22][23][24]. CiteSpace is considered the most widely used method because of its comprehensive co-citation ability.…”
Section: Methods For Bibliometric Analysismentioning
confidence: 99%
“…The continual growth in computational power, along with the introduction of powerful AI & ML approaches for regression and model prediction, 20,21 has enabled reliable prediction of the highly nonlinear behavior of hybrid nanofluids characteristics 22 . AI‐based approaches are proven to be increasingly valuable as alternatives to established procedures or as elements of integrated systems 23 . They have been utilized to tackle complex practical problems in a range of sectors and are growing increasingly popular at the time 24,25 .…”
Section: Introductionmentioning
confidence: 99%