JOURNAL ARTICLE

Statistics and probability theory in renewable energy: Teaching and research.

  • Published In: Applied Stochastic Models in Business & Industry, 2023, v. 39, n. 5. P. 720 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Eryilmaz, Serkan; Kateri, Maria; Devrim, Yilser 3 of 3

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. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Applied Stochastic Models in Business & Industry. 2023/09, Vol. 39, Issue 5, p720
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2023
  • ISSN:1524-1904
  • DOI:10.1002/asmb.2782
  • Accession Number:173230767
  • Copyright Statement:Copyright of Applied Stochastic Models in Business & Industry is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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