Modeling of energy consumption based on economic and demographic factors: The case of Turkey with projections

By Gokhan Aydin. 2014

123 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Electrical and Electronic Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/8980c5f5bf91558e257ea356884d5c19290be156

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Gokhan Aydin
2. Gökhan Aydın
3. Hyongdoo Jang
4. Erkan Topal

In Electrical and Electronic Engineering

1. Gokhan Aydin
2. Gökhan Aydın
3. Hyongdoo Jang
4. Erkan Topal

In Management Science and Operations Research

1. Gokhan Aydin
2. Gökhan Aydın
3. Hyongdoo Jang
4. Erkan Topal

Citations in the corpus

• The Application of Trend Analysis for Coal Demand Modeling (2015, methodology): “In forecast modeling, various methodologies can be used for energy forecasts Aydin, 2014a; Aydin, 2014b.”
• Energy consumption modeling using artificial neural networks: The case of the world’s highest consumers (2016, methodology): “The independent variables used for ANNmodeling are similar to some of the previous energy modeling studies (Aydin, 2014b; Ceylan and Ozturk, 2004; Toksari, 2007; Kankal et al., 2011).”
• Regression Models for Forecasting Global Oil Production (2015, background): “The growth in global energy demand is estimated to rise over the coming years (Aydin, 2014a).”
• Forecasting Natural Gas Production Using Various Regression Models (2015, methodology): “…energy supply/demand have been undertaken using various estimation methods, which can be broadly classified into five groups, namely econometric approach, artificial intelligence approach, hybrid model, grey theory forecasting model, and long-range energy alternatives planning model (Aydin, 2014b).”