Prediction of net energy consumption based on economic indicators (GNP and GDP) in Turkey
By Adnan Sözen, E. Arcaklioğlu. 2007
140 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/cade6beb869e580dd4ed3b3dcf537d683aaa1a70
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
- Fırat Hardalaç
- Murat Kankal
- A. Akpınar
- Ertuğrul Çam
- Fazil Kaytez
- M. Taplamacıoğlu
- Murat Ihsan Kömürcü
- Talat Şükrü Özşahin
In Electrical and Electronic Engineering
- Fırat Hardalaç
- Murat Kankal
- A. Akpınar
- Ertuğrul Çam
- Fazil Kaytez
- M. Taplamacıoğlu
- Murat Ihsan Kömürcü
- Talat Şükrü Özşahin
In Management Science and Operations Research
- Fırat Hardalaç
- Murat Kankal
- A. Akpınar
- Ertuğrul Çam
- Fazil Kaytez
- M. Taplamacıoğlu
- Murat Ihsan Kömürcü
- Talat Şükrü Özşahin
Citations in the corpus
- Forecasting electricity consumption: A comparison of regression analysis, neural networks and least squares support vector machines (2015, methodology): “LM, SCG and Quasi-Newton algorithms resolve the some disadvantages of BP mentioned above [30–32].”
- Modeling and forecasting of Turkey's energy consumption using socio-economic and demographic variables (2011, methodology): “ANNs are especially useful in predicting problems where mathematical formulae and prior knowledge on the relationship between inputs and outputs are unknown [5,7–9].”