Search

Your search keyword '"Yıldız, Ceyhun"' showing total 14 results
Start Over Author "Yıldız, Ceyhun"
14 results on '"Yıldız, Ceyhun"'

9. RBF Based Induction Motor Control with a Good Nonlinearity Compensation

Author

Özçalık, Hasan Rıza, Yıldız, Ceyhun, Danacı, Mustafa, Koca, Zafer, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Sandoval, Francisco, editor, Prieto, Alberto, editor, Cabestany, Joan, editor, and Graña, Manuel, editor

Published
2007
Full Text
View/download PDF

10. Simulation Study on Power Factor Correction Controlling Excitation Current of Synchronous Motor with Fuzzy Logic Controller

Author

Şekkeli, Mustafa, Yıldız, Ceyhun, Açıkgöz, Hakan, Keçecioğlu, Ökkeş Fatih, and Gani, Ahmet

Subjects
Engineering, Fuzzy Logic, Artificial Intelligence, Control and Systems Engineering, Mühendislik, Power factor, Power factor,Fuzzy Logic, Computer Graphics and Computer-Aided Design, Information Systems
Abstract

The correction of power factor in electric power systems is called reactive power compensation. A synchronous motor is used as a capacitive reactive power generator in compensation systems. It is less costly for an enterprise to use a synchronous motor as both mechanical power generator and power factor corrector, which increases their efficiency. There are various studies on increasing the efficiency, capacity and stability of a power system using power factor correction under different operating conditions. This study focuses on the power factor correction of the system by controlling the excitation current of the synchronous motor via fuzzy logic thanks to the asynchronous motor connected to the system.

Published
2016

13. Price Forecasting Model for Turkish Day-Ahead Electricity Market Using Neural Network.

Author

Yıldız, Ceyhun, Gani, Ahmet, Tekin, Mustafa, Keçecioğlu, Ö. Fatih, Açıkgöz, Hakan, and Şekkeli, Mustafa

Subjects
*ELECTRIC rates, *ARTIFICIAL neural networks, *ECONOMIC forecasting, *PROFITABILITY, *ELECTRIC power production, *ELECTRIC power consumption, *MATHEMATICAL models
Abstract

Day-ahead electricity market (DAM) price forecasts are crucial parameters for market participants to create their next - day generation plan. Accurate price forecasts help participant companies to increase their profit by shifting generation to high price occurred hours. In this study we developed a forecast model for Turkish energy market because country's energy market mechanism hasn't got price forecast module and there is no available accurate price forecasts. Architecture of model is based on feed forward back propagation neural network approach. Four year period real market data are used in train and test phases. Results of this study show that forecasts of proposed model have acceptable accuracy and the performance of the model strongly depends on the market demand and generation capacities. [ABSTRACT FROM AUTHOR]

Published
2016

Catalog

Books, media, physical & digital resources
See catalog results