Electricity estimation using genetic algorithm approach: a case study of Turkey

By H. Ozturk, Halim Ceylan, O. Canyurt, Arif Hepbasli. 2005

167 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/5f199e1ee3128668e36e809da3bf3e2d58adeadd

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

1. Alper Ünler
2. Erkan Erdogdu
3. L. Hunt
4. Zafer Dilaver

In Electrical and Electronic Engineering

1. Erkan Erdogdu
2. Zafer Dilaver
3. L. Hunt
4. Alper Ünler
5. K. Alkhathlan
6. Muhammad Javid
7. H. Pao
8. S. Sadegh

Citations in the corpus

• Natural gas demand in Turkey (2009, background): “Moreover, some argue that the official natural gas projections have overestimated natural gas demand to justify the construction of new power plants to use excess amount of natural gas [35].”
• Industrial electricity demand for Turkey: A structural time series analysis (2011, background): “Forecast Studies: Here the focus is on predicting future energy demand such as Ediger and Akar (2007), Hamzacebi (2007), Erdogdu (2007), Akay and Atak (2006), Ceylan and Ozturk (2004), Ozturk et al (2005) and Ediger and Tatlidil (2002).”
• Improvement of energy demand forecasts using swarm intelligence: The case of Turkey with projections to 2025 (2008, methodology): “Ozturk et al. (2005) developed two different nonlinear estimation models using GAs to forecast Turkey’s electricity demand in future.”