C. Hamzaçebi

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Forecasting of Turkey's net electricity energy consumption on sectoral bases

C. Hamzaçebi, 2007 .

Assessing the logistics activities aspect of economic and social development

Hüseyin Avni Es, C. Hamzaçebi, S. Fırat, 2018 .

Primary energy sources planning based on demand forecasting: The case of Turkey

C. Hamzaçebi, 2016 .

Determining of stock investments with grey relational analysis

Mehmet Pekkaya, Coskun Hamzaçebi, C. Hamzaçebi, 2011, Expert Syst. Appl..

Optimization of Process Parameters in Oriented Strand Board Manufacturing by Taguchi Method

Coşkun Hamzaçebi, C. Hamzaçebi, 2016 .

Predicting modulus of rupture (MOR) and modulus of elasticity (MOE) of heat treated woods by artificial neural networks

Sebahattin Tiryaki, Coşkun Hamzaçebi, C. Hamzaçebi, 2014 .

Evaluation of process parameters for lower surface roughness in wood machining by using Taguchi design methodology

C. Hamzaçebi, S. Tiryaki, A. Malkocoglu, 2015, European Journal of Wood and Wood Products.

Artificial neural network and regression models for performance prediction of abrasive waterjet in rock cutting

Gokhan Aydin, Izzet Karakurt, Coskun Hamzacebi, 2014, The International Journal of Advanced Manufacturing Technology.

Forecasting of Turkey’s monthly electricity demand by seasonal artificial neural network

Hüseyin Avni Es, C. Hamzaçebi, R. Çakmak, 2019, Neural Computing and Applications.

Comparison of direct and iterative artificial neural network forecast approaches in multi-periodic time series forecasting

Diyar Akay, Coşkun Hamzaçebi, Fevzi Kutay, 2009, Expert Syst. Appl..

Continuous functions minimization by dynamic random search technique

Coşkun Hamzaçebi, C. Hamzaçebi, Fevzi Kutay, 2007 .

Improving genetic algorithms' performance by local search for continuous function optimization

Coskun Hamzaçebi, C. Hamzaçebi, 2008, Appl. Math. Comput..

FORECASTING THE NET ENERGY DEMAND OF TURKEY BY ARTIFICIAL NEURAL NETWORKS

Huseyin Avni Es, F. Kalender, Coşkun Hamzacebi, 2014 .

Exploring CO2 emissions according to planned energy investments and policies: the case of Turkey

Hüseyin Avni Es, Coşkun Hamzaçebi, C. Hamzaçebi, 2020, Soft Comput..

Improving artificial neural networks' performance in seasonal time series forecasting

Coskun Hamzaçebi, C. Hamzaçebi, 2008, Inf. Sci..

Slip Casting of Co-Milled Al2O3-SiC Powder Mixtures and their Characterization before and after Sintering against Slip Thickness

C. Hamzaçebi, M. L. Öveçoğlu, B. Özkal, 2004 .

Grey Systems : Theory and Application Business School ranking with grey relational analysis : the case of Turkey

Ilker Murat Ar, Coskun Hamzaçebi, Birdogan Baki, 2016 .

Forecasting of Turkey’s monthly electricity demand by seasonal artificial neural network

Coşkun Hamzaçebi, Hüseyin Avni Es, Recep Çakmak, 2017, Neural Computing and Applications.

Forecasting the annual electricity consumption of Turkey using an optimized grey model

Coşkun Hamzaçebi, Huseyin Avni Es, Hüseyin Avni Es, 2014 .

Moisture Ratio Prediction in Drying Process of Agricultural Products: A New Correlation Model

A. Topuz, C. Hamzacebi, C. Hamzaçebi, 2010 .

Prediction of natural gas demand by considering implications of energy-related policies: The case of Türkiye

C. Hamzaçebi, H. Es, Pınar Baban, 2023, Energy Sources Part B Economics Planning and Policy.

Exploring CO2 emissions according to planned energy investments and policies: the case of Turkey

C. Hamzaçebi, H. Es, 2020, Soft Computing.