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.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.relation.ispartof | Applied Stochastic Models in Business and Industry | |
| 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 | |
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| gdc.author.wosid | DEVRIM, YILSER/AAF-8790-2019 | |
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| 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 | Q2 | |
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| gdc.oaire.keywords | reliability | |
| gdc.oaire.keywords | Markov chains | |
| gdc.oaire.keywords | Statistics | |
| gdc.oaire.keywords | stochastic processes | |
| gdc.oaire.keywords | Weibull distribution | |
| gdc.oaire.keywords | renewable energy | |
| gdc.oaire.keywords | stochastic modeling | |
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| gdc.oaire.sciencefields | 0211 other engineering and technologies | |
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| gdc.virtual.author | Eryılmaz, Serkan | |
| gdc.virtual.author | Devrim, Yılser | |
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