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Meta-study of sensitivity analysis in solar renewable energy application

Sensitivity analysis reveals the relative weights of the assumptions and input parameters used in the model. It differs from uncertainty analysis, which deals with the issue of how uncertain the forecast is. Both sensitivity and uncertainty analyses must map on a model behaves when certain input ass...

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Main Authors: Abdul Karim, Abdul Razif, Mohammad, Roslina
Format: Article
Language:English
Published: Akademia Baru Publishing (M) Sdn. Bhd. 2023
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/108604/1/RoslinaMohammad2023_MetaStudyofSensitivityAnalysisinSolar.pdf
http://eprints.utm.my/108604/
http://dx.doi.org/10.37934/progee.23.1.1425
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spelling my.utm.1086042024-11-19T06:32:37Z http://eprints.utm.my/108604/ Meta-study of sensitivity analysis in solar renewable energy application Abdul Karim, Abdul Razif Mohammad, Roslina T Technology (General) Sensitivity analysis reveals the relative weights of the assumptions and input parameters used in the model. It differs from uncertainty analysis, which deals with the issue of how uncertain the forecast is. Both sensitivity and uncertainty analyses must map on a model behaves when certain input assumptions and parameters are allowed to fluctuate within the range of possible values. While going down one-dimensional corridors, various uncertainties and sensitivity studies continue investigating the input space, leaving room for the most undiscovered input elements. Numerous highly cited publications fall short of the fundamental criteria to thoroughly investigate the space of the input components, according to a thorough systematic examination of the literature. Despite being discipline-specific, the findings show a concerning absence of good practices and accepted norms. The conclusion listed a few potential causes for this issue and offered suggestions for how the approaches should be applied correctly. Akademia Baru Publishing (M) Sdn. Bhd. 2023-03 Article PeerReviewed application/pdf en http://eprints.utm.my/108604/1/RoslinaMohammad2023_MetaStudyofSensitivityAnalysisinSolar.pdf Abdul Karim, Abdul Razif and Mohammad, Roslina (2023) Meta-study of sensitivity analysis in solar renewable energy application. Progress in Energy and Environment, 23 (NA). pp. 14-25. ISSN 2600-7762 http://dx.doi.org/10.37934/progee.23.1.1425 DOI:10.37934/progee.23.1.1425
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Abdul Karim, Abdul Razif
Mohammad, Roslina
Meta-study of sensitivity analysis in solar renewable energy application
description Sensitivity analysis reveals the relative weights of the assumptions and input parameters used in the model. It differs from uncertainty analysis, which deals with the issue of how uncertain the forecast is. Both sensitivity and uncertainty analyses must map on a model behaves when certain input assumptions and parameters are allowed to fluctuate within the range of possible values. While going down one-dimensional corridors, various uncertainties and sensitivity studies continue investigating the input space, leaving room for the most undiscovered input elements. Numerous highly cited publications fall short of the fundamental criteria to thoroughly investigate the space of the input components, according to a thorough systematic examination of the literature. Despite being discipline-specific, the findings show a concerning absence of good practices and accepted norms. The conclusion listed a few potential causes for this issue and offered suggestions for how the approaches should be applied correctly.
format Article
author Abdul Karim, Abdul Razif
Mohammad, Roslina
author_facet Abdul Karim, Abdul Razif
Mohammad, Roslina
author_sort Abdul Karim, Abdul Razif
title Meta-study of sensitivity analysis in solar renewable energy application
title_short Meta-study of sensitivity analysis in solar renewable energy application
title_full Meta-study of sensitivity analysis in solar renewable energy application
title_fullStr Meta-study of sensitivity analysis in solar renewable energy application
title_full_unstemmed Meta-study of sensitivity analysis in solar renewable energy application
title_sort meta-study of sensitivity analysis in solar renewable energy application
publisher Akademia Baru Publishing (M) Sdn. Bhd.
publishDate 2023
url http://eprints.utm.my/108604/1/RoslinaMohammad2023_MetaStudyofSensitivityAnalysisinSolar.pdf
http://eprints.utm.my/108604/
http://dx.doi.org/10.37934/progee.23.1.1425
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score 13.223943

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