Statistics and Probability Theory in Renewable Energy: Teaching and Research

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Date

2023

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Volume Title

Publisher

Wiley

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Green Open Access

No

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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.

Description

DEVRIM, YILSER/0000-0001-8430-0702

Keywords

Markov chains, reliability, renewable energy, stochastic modeling, stochastic processes, Weibull distribution, reliability, Markov chains, Statistics, stochastic processes, Weibull distribution, renewable energy, stochastic modeling

Turkish CoHE Thesis Center URL

Fields of Science

0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

WoS Q

Q2

Scopus Q

Q3
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OpenCitations Citation Count
2

Source

Applied Stochastic Models in Business and Industry

Volume

39

Issue

5

Start Page

720

End Page

729

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CrossRef : 1

Scopus : 6

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Mendeley Readers : 7

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3

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