Modeling and forecasting of Turkey's energy consumption using socio-economic and demographic variables

By Murat Kankal, A. Akpınar, Murat Ihsan Kömürcü, Talat Şükrü Özşahin. 2011

274 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/34a11b77ef044d67358c001c126fa2f6a49a3bb5

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

In Electrical and Electronic Engineering

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

In Management Science and Operations Research

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

Citations in the corpus

• 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).”