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Dergiler / Gazi University Journal of Science / 2016 / Cilt: 29 - Sayı: 2

Comparing Energy Demand Estimation Using Various Statistical Methods: The Case of Turkey

Yakup Murat Bulut
Zeki Yıldız
Sayfa
237–244
Yayın Tarihi
2016-06-20
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Since, RR give better estimation, we estimate Turkey’s future energy demand based on RR method.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Many engineers and scientists concern with future energy demand.
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Temel Bulgular & Veri:They use many different statistical methods to estimate future energy demand such as multiple linear regression, neural networks, genetic algorithms and so on.
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Sonuç & Katkı:Since, RR give better estimation, we estimate Turkey’s future energy demand based on RR method.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:: Energy Demand · Energy Modeling · Biased Regression

Abstract

Many engineers and scientists concern with future energy demand. They use many different statistical methods to estimate future energy demand such as multiple linear regression, neural networks, genetic algorithms and so on. In this paper, we propose ridge regression (RR) and partial least squares regression (PLSR) methods to estimate future energy demand. Because of the fact that variables, which are used in energy demand, are very collinear, ridge regression and partial least squares regression methods give more realistic results than least squares regression method. So, energy demand equations are developed based on RR and PLSR methods. Since, RR give better estimation, we estimate Turkey’s future energy demand based on RR method.

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Bu Makaleye Atıf Yap

Bulut, Y. M., Yıldız, Z. (2016). Comparing Energy Demand Estimation Using Various Statistical Methods: The Case of Turkey. Gazi University Journal of Science, Cilt: 29 - Sayı: 2, 237–244. https://ajindex.com/articles/255442

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Kaynakça (14)

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