Yazar "Kurban, Mehmet" için listeleme
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A 2 dimensional solar radiation model [2 Boyutlu bir güneş işinim şiddeti modeli]
In this study solar radiation data obtained from Eskisehir region is mathematically modeled using a two dimentional (2D) approach. The approach and model is novel in the literature of solar radiation modeling. The analysis ... -
Anadolu Üniversitesi İki Eylül Kampüsündeki Rüzgar Enerjisi Potansiyelinin Önsel İstatistiksel Analizi
Kurban, Mehmet; Hocaoğlu, Fatih Onur; Mert Kantar, Yeliz (Anadolu Üniversitesi, 2007)Bu çalışmada, 2005 yılı Temmuz, Ağustos, Eylül ve Ekim aylarında 15 s aralıklarla ölçülen rüzgar hızı verilerine dayanarak, Anadolu Üniversitesi İki Eylül Kampusu’ndeki rüzgar enerjisi potansiyeli istatistiksel olarak ... -
Birim yüklenme probleminin matematiksel ve akıllı sezgisel yaklaşımlar kullanılarak çözülmesi
Başaran, Ümmühan (Anadolu Üniversitesi, 2010)Güç sistemleri optimizasyonunda önemli problemlerden biri olan birim yüklenme problemi, hem matematiksel (gevşetilmiş Lagrange, ceza fonksiyonları, genişletilmiş Lagrange ceza çarpanları, genelleştirilmiş subgradient (MSG) ... -
Birim yüklenme probleminin üç farklı yöntem kullanılarak karşılaştırmalı çözümlenmesi
Kurban, Mehmet; Başaran Filik, Ümmühan (2009)Bu çalışmada, güç sistemi optimizasyonunda önemli bir konu olan birim yüklenme problemi, dinamik programlama, gevşetilmiş Lagrange ve benzetimli tavlama yöntemi kullanılarak çözülmüştür. Dinamik programlama yöntemi, minimum ... -
BİRİM YÜKLENME PROBLEMİNİN ÜÇ FARKLI YÖNTEM KULLANILARAK KARŞILAŞTIRMALI ÇÖZÜMLENMESİ
Kurban, Mehmet; Başaran Filik, Ümmühan (2009)Bu çalışmada, güç sistemi optimizasyonunda önemli bir konu olan birim yüklenme problemi, dinamik programlama, gevşetilmiş Lagrange ve benzetimli tavlama yöntemi kullanılarak çözülmüştür. Dinamik programlama yöntemi, minimum ... -
Comparative Solution of Unit Commitment Problem Using Three Different Methods
Kurban, Mehmet; Başaran Filik, Ümmühan (Gazi University, Fac Engineering Architecture, 2009)In this paper, unit commitment problem which is an important subject in power system optimization, is solved by using dynamic programming, Lagrange relaxation, and simulated annealing methods. Dynamic programming method ... -
A Comparative Study of Three Different Mathematical Methods for Solving the Unit Commitment Problem
Kurban, Mehmet; Başaran Filik, Ümmühan (Hindawi Publishing Corporation, 2009)The unit commitment (UC) problem which is an important subject in power system engineering is solved by using Lagragian relaxation (LR), penalty function (PF), and augmented Lagrangian penalty function (ALPF) methods due ... -
The Effect of Markov Chain State Size for Synthetic Wind Speed Generation
Hocaoğlu, Fatih Onur; Gerek, Ömer Nezih; Kurban, Mehmet (IEEE, 2008)In this study hourly wind speed time series data of Eskisehir region, Turkey have been used for stochastic generation of wind speed data using the transition matrix approach of the Markov chain process. Previous work on ... -
The effect of missing wind speed data on wind power estimation
Hocaoğlu, Fatih Onur; Kurban, Mehmet (Springer-Verlag Berlin, 2007)In this paper, the effect of possible missing data on wind power estimation is examined. One-month wind speed data obtained from wind and solar observation station which is constructed at Iki Ey- Campus of Anadolu University ... -
The effect of model generated solar radiation data usage in hybrid (wind-PV) sizing studies
Hocaoğlu, Fatih Onur; Gerek, Ömer Nezih; Kurban, Mehmet (Pergamon-Elsevier Science LTD, 2009)Wind speed and solar radiation characteristics belonging to past years of a region are the main input parameters in wind-photovoltaic hybrid system (WPHS) sizing studies. Classically, these data are fed to several scenarios ... -
Energy Efficiency of a Special Squirrel Cage Induction Motor
Sertsöz, Mine; Kurban, Mehmet (Springer, 2018)… -
Feasible Modified Subgradient Method for Solving the Thermal Unit Commitment Problem as a New Approach
Başaran Filik, Ümmühan; Kurban, Mehmet (Hindawi LTD, 2010)The Lagrangian relaxation- (LR-) based methods are commonly used to solve the thermal unit commitment (UC) problem which is an important subject in power system engineering. The main drawback of this group of methods is ... -
Hourly Forecasting of Long Term Electric Energy Demand Using Novel Mathematical Models and Neural Networks
Başaran Filik, Ümmühan; Gerek, Ömer Nezih; Kurban, Mehmet (Icic Int, 2011)In this work, hourly forecasting of long term electric energy demand is achieved using mathematical models and Artificial Neural Network (ANN) approaches. Previous works regarding energy demand forecasting either treated ... -
Hourly solar radiation forecasting using optimal coefficient 2-D linear filters and feed-forward neural networks
Hocaoğlu, Fatih Onur; Gerek, Ömer Nezih; Kurban, Mehmet (Pergamon-Elsevier Science LTD, 2008)In this work, the hourly solar radiation data collected during the period August 1, 2005-July 30, 2006 from the solar observation station in Iki Eylul campus area of Eskisehir region are studied. A two-dimensional (2-D) ... -
Missing wind data forecasting with adaptive neuro-fuzzy inference system
Hocaoğlu, Fatih Onur; Oysal, Yusuf; Kurban, Mehmet (Springer, 2009)In any region, to begin generating electricity from wind energy, it is necessary to determine the 1-year distribution characteristics of wind speed. For this aim, a wind observation station must be constructed and 1-year ... -
Neural and mathematical modeling approaches for hourly long term loadforecasting
In this work, a mathematical model and an Artificial Neural Network (ANN)approach are constructed for the hourly forecasting of long term electric energydemand. Unlike former studies, these methods produce long term load ... -
A new approach for next day load forecasting integrating Artificial Neural Network model with Weighted Frequency Bin Blocks
Kurban, Mehmet; Başaran Filik, Ümmühan (Springer-Verlag Berlin, 2008)In this study, a new method is developed for the next day load forecasting integrating Artificial Neural Network(ANN) model with Weighted Frequency Bin Blocks (WFBB). After the WFBB is applied to all data, the results ... -
Next Day Load Forecasting Using Artificial Neural Network Models With Autoregression and Weighted Frequency Bin Blocks
Kurban, Mehmet; Başaran Filik, Ümmühan (Icic International, 2009)In this study, two different hybrid approaches based on Artificial Neural Network (ANN) models with Autoregressive (AR) method and Weighted Frequency Bin Blocks (WFBB), are used for next day load forecasting. To compare ... -
A novel 2-d model approach for the prediction of hourly solar radiation
Hocaoğlu, Fatih Onur; Gerek, Ömer Nezih; Kurban, Mehmet (Springer-Verlag Berlin, 2007)In this work, a two-dimensional (2-D) representation of the hourly solar radiation data is proposed. The model enables accurate forecasting using image prediction methods. One year solar radiation data that is acquired and ... -
A novel hybrid (wind-photovoltaic) system sizing procedure
Hocaoğlu, Fatih Onur; Gerek, Ömer Nezih; Kurban, Mehmet (Pergamon-Elsevier Science LTD, 2009)Wind-photovoltaic hybrid system (WPHS) utilization is becoming popular due to increasing energy costs and decreasing prices of turbines and photovoltaic (PV) panels. However, prior to construction of a renewable generation ...
