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- W4225995039 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." @default.
- W4225995039 created "2022-05-05" @default.
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- W4225995039 date "2022-01-01" @default.
- W4225995039 modified "2023-09-30" @default.
- W4225995039 title "A Renewable Energy Assessment Method by Parametric and Non-Parametric Models' Data Analysis" @default.
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- W4225995039 doi "https://doi.org/10.4018/978-1-6684-2472-8.ch002" @default.
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