Turkey's net energy consumption
By Adnan Sözen, E. Arcaklioğlu, M. Ozkaymak. 2005
137 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/e5cbaa6460f9c03889f9a120c0a111543eb2298a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Electrical and Electronic Engineering
In Management Science and Operations Research
- S. Akar
- Fırat Hardalaç
- Murat Kankal
- Lambros Ekonomou
- A. Akpınar
- Ertuğrul Çam
- Fazil Kaytez
- M. Taplamacıoğlu
Citations in the corpus
- Greek long-term energy consumption prediction using artificial neural networks (2010, methodology): “ANN models were also developed for the Turkey’s net energy consumption prediction in [2].”
- The experimental investigation of the effects of uncoated, PVD- and CVD-coated cemented carbide inserts and cutting parameters on surface roughness in CNC turning and its prediction using artificial neural networks (2009, methodology): “The statistical methods of RMSE, R and MEP values have been used for making comparisons [36–39].”
- Modeling and forecasting of Turkey's energy consumption using socio-economic and demographic variables (2011, methodology): “[43] used ANN for forecasting net energy consumption in Turkey.”
- Forecasting electricity consumption: A comparison of regression analysis, neural networks and least squares support vector machines (2015, methodology): “Artificial neural networks (ANNs) have also been used for the prediction of electricity consumption [12–16].”
- ARIMA forecasting of primary energy demand by fuel in Turkey (2007, methodology): “Ceylan and Öztürk (2004), Canyurt et al. (2004), and Ceylan et al. (2005b) used genetic algorithm method whereas Sözen et al. (2005) used artificial neural network.”