Journals / Gazi University Journal of Science / 2018 / Volume: 31 Issue: 4

Measuring Dependence between Electricity Consumption and Contributing Indicators via Copulas: Turkish Case

O. Ozan Evkaya(Atilim University, Department of Mathematics)
Ceylan Yozgatlıgıl(Middle East Technical University, Department of Statistics)
A. Sevtap Selcuk- Kestel(Middle East Technical University)
Pages
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Publication Date
2018-12-01
DOI
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AI Summary & Key Takeaways

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

We indicate that the copulas are useful to underline, especially, the tail properties of indicators in the market for decision makers.

📌 3 Key Takeaways

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Objective & Hypothesis:This paper implements copulas to identify the dependence structure between electricity consumption and its cofounding indicators.
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Key Findings & Data:To achieve this, Turkish electricity demand, its economic and sectoral indicators are taken into account.
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Conclusion & Impact:We indicate that the copulas are useful to underline, especially, the tail properties of indicators in the market for decision makers.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Electricity demand · Economic ındicators · Sectorial ındicators

Abstract

This paper implements copulas to identify the dependence structure between electricity consumption and its cofounding indicators. To achieve this, Turkish electricity demand, its economic and sectoral indicators are taken into account. As a first step, bivariate copulas are used to identify the best fitting copula and the degree of the dependence. Thereafter, multivariate model is established using vine copulas using highly correlated variables. The empirical results confirm the added value of the proposed approach in determining numerous tail properties. We indicate that the copulas are useful to underline, especially, the tail properties of indicators in the market for decision makers.

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Cite This Article

Evkaya, O. O., Yozgatlıgıl, C., Kestel, A. S. S. (2018). Measuring Dependence between Electricity Consumption and Contributing Indicators via Copulas: Turkish Case. Gazi University Journal of Science, Volume: 31 Issue: 4. https://ajindex.com/articles/1269243

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References (3)

  1. Assoc. Prof. Dr. Emel Kızılok Kara ([email protected])
  2. Assist. Prof. Dr. Vadoud Najjari (Gazi University, Dept. of Statistics)
  3. Prof. Dr. Gerhard Wilhelm Weber (Poznan University, Poland, [email protected])