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What is Data Envelope Analysis

Optimization and Decision-Making in the Renewable Energy Industry
A non-parametric method used in operations research and economics for estimating production limits.
Published in Chapter:
A Renewable Energy Assessment Method by Parametric and Non-Parametric Models' Data Analysis
Zühre Aydın Yenioğlu (Energy Market Regulatory Authority, Turkey) and Vildan Ateş (Ankara Yıldırım Beyazıt University, Turkey)
Copyright: © 2022 |Pages: 28
DOI: 10.4018/978-1-6684-2472-8.ch002
Abstract
Consumption of renewable energy sources for countries shows a rising trend. Providing progress in the renewable energy field, countries try on related regulations and accurate investments according to renewable energy consumption and generation. European Union (EU15) countries play an essential role increasing renewable energy efficiency, which is share of Europe in total energy usage. In this chapter, deterministic and stochastic methods were used to examine whether the renewable energy efficiencies of EU15 countries and Turkey are sensitive to different data envelopment analysis and stochastic frontier analysis models using renewable energy consumption and generation parameters. The chapter presents how the renewable energy efficiency results of related countries change with different optimization models in the context of deterministic and stochastic framework, and it proposes a new method to find a common solution for the different results of different optimization models.
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