Kurum Yazarı "Başaran Filik, Ümmühan" Makale Koleksiyonu İçin Listeleme
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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 ... -
Efficiency Analysis of the Solar Tracking Pv Systems in Eskişehir Region
Filik, Tansu; Başaran Filik, Ümmühan (2017)In this study, efficiency analysis of the solar tracking photovoltaic (PV) system in Eskişehir region is considered for onsite real solar power generation values. It is shown that the tracking system's power generations ... -
Estimation methods of global solar radiation, cell temperature and solar power forecasting: A review and case study in Eskisehir
Ayvazoğlüyüksel, Özge; Başaran Filik, Ümmühan (Pergamon-Elsevier Science LTD, 2018)Solar energy is the most important energy resource that has become an efficient solution to the world's energy challenges. Accurate knowledge of global solar radiation and cell temperature are required for solar photovoltaic ... -
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 ... -
A Hysteresis Model for Fixed and Sun Tracking Solar PV Power Generation Systems
Başaran Filik, Ümmühan; Filik, Tansu; Gerek, Ömer Nezih (MDPI, 2018)In this study, a new solar photovoltaic (PV) panel output power model is proposed. The model is constructed as a function of ambient temperature and solar radiations for two types (fixed panel and sun tracking panel) of ... -
Kısa-Dönem Rüzgâr Hızının Tahmininde Otoregresif ve Yapay SinirAğları Tabanlı Yeni Bir Hibrit Yaklaşım
Başaran Filik, Ümmühan; Filik, Tansu (2017)Rüzgâr enerjisinin elektrik şebekesine entegrasyonu, ekonomik dağıtımı için ayrıca rüzgâr türbinlerinin güvenli işletilebilmesi (kontrolü) için kısa-dönem rüzgâr hızı tahmini önemli bir konudur. Rüzgâr hızının anlık ... -
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 Hybrid Approach for Wind Speed Prediction Using Fast Block Least Mean Square Algorithm and Artificial Neural Network
Başaran Filik, Ümmühan (Hindawi LTD, 2016)A new hybrid wind speed prediction approach, which uses fast block least mean square (FBLMS) algorithm and artificial neural network (ANN) method, is proposed. FBLMS is an adaptive algorithm which has reduced complexity ... -
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 modeling approach for hourly forecasting of long-term electric energy demand
Başaran Filik, Ümmühan; Gerek, Ömer Nezih; Kurban, Mehmet (Pergamon-Elsevier Science LTD, 2011)In this study, a novel mathematical method is proposed for modeling and forecasting electric energy demand. The method is capable of making long-term forecasts. However, unlike other long-term forecasting models, the ... -
Solving Unit Commitment Problem Using Modified Subgradient Method Combined with Simulated Annealing Algorithm
Başaran Filik, Ümmühan; Kurban, Mehmet (Hindawi Publishing Corporation, 2010)This paper presents the solving unit commitment (UC) problem using Modified Subgradient Method (MSG) method combined with Simulated Annealing (SA) algorithm. UC problem is one of the important power system engineering ... -
Türkiye'deki 22 baralı 380 kV' luk güç sistemi için ekonomik dağıtım ve optimal güç akışı yöntemlerinin karşılaştırmalı analizi
Kurban, Mehmet; Başaran Filik, Ümmühan (2007)Bu çalışmada, Türkiye'deki 380 kV'luk enerji iletim hatlarıyla birbirine bağlı EÜAŞ (Elektrik Üretim Anonim Şirketi) tarafından işletilen 8 tane termik santral bulunan 22 baralı 380 kV'luk güç sistemi için santrallerin en ...