Statistics and probability theory in renewable energy: Teaching and research

dc.authoridDEVRIM, YILSER/0000-0001-8430-0702
dc.authorscopusid8203625300
dc.authorscopusid6602407267
dc.authorscopusid11139445500
dc.authorwosidDEVRIM, YILSER/AAF-8790-2019
dc.contributor.authorEryilmaz, Serkan
dc.contributor.authorEryılmaz, Serkan
dc.contributor.authorKateri, Maria
dc.contributor.authorDevrim, Yılser
dc.contributor.otherIndustrial Engineering
dc.contributor.otherEnergy Systems Engineering
dc.date.accessioned2024-07-05T15:22:19Z
dc.date.available2024-07-05T15:22:19Z
dc.date.issued2023
dc.departmentAtılım Universityen_US
dc.department-temp[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, Turkiyeen_US
dc.descriptionDEVRIM, YILSER/0000-0001-8430-0702en_US
dc.description.abstractIn 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.citation0
dc.identifier.doi10.1002/asmb.2782
dc.identifier.endpage729en_US
dc.identifier.issn1524-1904
dc.identifier.issn1526-4025
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85161602712
dc.identifier.scopusqualityQ3
dc.identifier.startpage720en_US
dc.identifier.urihttps://doi.org/10.1002/asmb.2782
dc.identifier.urihttps://hdl.handle.net/20.500.14411/2182
dc.identifier.volume39en_US
dc.identifier.wosWOS:001001332000001
dc.identifier.wosqualityQ3
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMarkov chainsen_US
dc.subjectreliabilityen_US
dc.subjectrenewable energyen_US
dc.subjectstochastic modelingen_US
dc.subjectstochastic processesen_US
dc.subjectWeibull distributionen_US
dc.titleStatistics and probability theory in renewable energy: Teaching and researchen_US
dc.typeArticleen_US
dspace.entity.typePublication
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