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Journals / Ege Akademik Bakış / 2018 / Cilt: 18 - Sayı: 4

An Analysis of Turkey’s Energy Efficiency with Artificial Neural Networks and ARDL Approach

Türkiye’nin Enerji Verimliliğinin Yapay Sinir Ağı ve ARDL Yaklaşımı ile Analizi

Çiler Sigeze
Esra Ballı
Salih Çam
Pages
661–670
Publication Date
2022-10-12
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Besides, according to Artificial Neural Networks results, the most important variable determining energy efficiency is found to be per capita capital stock.

📌 3 Key Takeaways

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Objective & Hypothesis:This study investigates Turkey’s energy efficiency for the period of 1960-2013 utilizing the ARDL (Autoregressive Distributed Lag) in the context of TOPSIS (Technique for Order Preference by Similarity to the Ideal Solution) and Artificial Neural Networks algorithm.
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Key Findings & Data:The empirical results depict that Turkey’s energy efficiency tends to increase over the years.
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Conclusion & Impact:Besides, according to Artificial Neural Networks results, the most important variable determining energy efficiency is found to be per capita capital stock.
🔬Design:Research Article
📍Scope:2013 Verileri
⚙️Variables:Domain Parameters

Abstract

This study investigates Turkey’s energy efficiency for the period of 1960-2013 utilizing the ARDL (Autoregressive Distributed Lag) in the context of TOPSIS (Technique for Order Preference by Similarity to the Ideal Solution) and Artificial Neural Networks algorithm. In the first stage of the analysis, energy efficiency scores obtained via TOPSIS, then efficiency scores employed as output for the Artificial Neural Networks. Finally, ARDL utilized to estimate the coefficients of the variables both in the short and the long run. The empirical results depict that Turkey’s energy efficiency tends to increase over the years. Besides, according to Artificial Neural Networks results, the most important variable determining energy efficiency is found to be per capita capital stock.

Özet

Bu çalışmada Türkiye’nin enerji verimliliğiARDL yöntemi, TOPSIS yöntemi ve yapay sinirağları algoritması analizleri çerçevesinde 1960-2013 dönemi için incelenmiştir. Çalışmanın ilkaşamasında TOPSIS yöntemi kullanılarak enerjiverimlilik skorları elde edilmiştir, elde edilenskorlar daha sonra Yapay Sinir Ağlarının çıktı verisiolarak kullanılmıştır. Son olarak, değişkenlerinkısa ve uzun dönem katsayıları ARDL yöntemiile tahmin edilmiştir. Elde edilen sonuçlarTürkiye’nin enerji verimliliğinin yıllara göre artmaeğiliminde olduğunu göstermektedir. Bununyanında, Yapay Sinir Ağları analizi sonuçlarınagöre enerji etkinliğini belirleyen en önemlideğişken kişi başına düşen sermaye stokudur.

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Cite This Article

Sigeze, Ç., Ballı, E., Çam, S. (2022). An Analysis of Turkey’s Energy Efficiency with Artificial Neural Networks and ARDL Approach. Ege Akademik Bakış, Cilt: 18 - Sayı: 4, 661–670. https://ajindex.com/articles/495172

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