Statistics and Probability Theory in Renewable Energy: Teaching and Research

dc.contributor.author Eryilmaz, Serkan
dc.contributor.author Kateri, Maria
dc.contributor.author Devrim, Yilser
dc.contributor.other Industrial Engineering
dc.contributor.other Energy Systems Engineering
dc.date.accessioned 2024-07-05T15:22:19Z
dc.date.available 2024-07-05T15:22:19Z
dc.date.issued 2023
dc.description DEVRIM, YILSER/0000-0001-8430-0702 en_US
dc.description.abstract In this paper, the key-role and utility of statistics and probability theory in the field of renewable energy are emphasized and illustrated via specific examples. It is demonstrated that renewable energy is a very suitable field to effectively teach and implement many statistical and probabilistic concepts and techniques. From a research point of view, statistical and probabilistic methods have been successfully employed in evaluating renewable energy systems. These methods will continue to be of core interest for the renewable energy sector in the future, as new and more complex renewable energy systems are developed and installed. In this context, some future research directions in relation to the evaluation of renewable energy systems are also presented. en_US
dc.identifier.doi 10.1002/asmb.2782
dc.identifier.issn 1524-1904
dc.identifier.issn 1526-4025
dc.identifier.scopus 2-s2.0-85161602712
dc.identifier.uri https://doi.org/10.1002/asmb.2782
dc.identifier.uri https://hdl.handle.net/20.500.14411/2182
dc.language.iso en en_US
dc.publisher Wiley en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Markov chains en_US
dc.subject reliability en_US
dc.subject renewable energy en_US
dc.subject stochastic modeling en_US
dc.subject stochastic processes en_US
dc.subject Weibull distribution en_US
dc.title Statistics and Probability Theory in Renewable Energy: Teaching and Research en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id DEVRIM, YILSER/0000-0001-8430-0702
gdc.author.institutional Eryılmaz, Serkan
gdc.author.institutional Devrim, Yılser
gdc.author.scopusid 8203625300
gdc.author.scopusid 6602407267
gdc.author.scopusid 11139445500
gdc.author.wosid DEVRIM, YILSER/AAF-8790-2019
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.description.department Atılım University en_US
gdc.description.departmenttemp [Eryilmaz, Serkan] Atilim Univ, Dept Ind Engn, Ankara, Turkiye; [Kateri, Maria] Rhein Westfal TH Aachen, Inst Stat, Aachen, Germany; [Devrim, Yilser] Atilim Univ, Dept Energy Syst Engn, Ankara, Turkiye en_US
gdc.description.endpage 729 en_US
gdc.description.issue 5 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q3
gdc.description.startpage 720 en_US
gdc.description.volume 39 en_US
gdc.description.wosquality Q3
gdc.identifier.wos WOS:001001332000001
gdc.scopus.citedcount 3
gdc.wos.citedcount 2
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