Browsing by Author "Yetkin, E. Fatih"
Now showing items 1-13 of 13
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Active and Reactive Power Load Profiling Using Dimensionality Reduction Techniques and Clustering
Yetkin, E. Fatih; Ceylan, Oğuzhan; Papadopoulos, Theofilos A.; Kazaki, Anastasia G.; Barzegkar-Ntovom, Georgios A. (Institute of Electrical and Electronics Engineers Inc., 2019)This paper proposes a methodology to characterize active and reactive power load profiles. Specifically, the approach makes use of fast Fourier Transform for conversion into frequency domain, principle component analysis ... -
Applications of Eigenvalue Counting and Inclusion Theorems in Model Order Reduction
Yetkin, E. Fatih; Dağ, Hasan (Springer-Verlag Berlin, 2010)We suggest a simple and an efficient iterative method based on both the Gerschgorin eigenvalue inclusion theorem and the deflation methods to compute a Reduced Order Model (ROM) to lower greatly the order of a given state ... -
Assessment of load and generation modelling on the quasi-static analysis of distribution networks
Lamprianidou, I. S.; Papadopoulos, T. A.; Kryonidis, G. C.; Yetkin, E. Fatih; Pippi, K. D.; Chrysochos, A., I (Elsevier, 2021)Quasi-static analysis of power systems can be performed by means of timeseries-based and probability density function-based models. In this paper, the effect of different load and generation modelling approaches on the ... -
Comparative classification performances of filter model feature selection algorithms in EEG based brain computer interface system
Bulut, Cem; Balli, Tugce; Yetkin, E. Fatih (Gazi Univ, Fac Engineering Architecture, 2023)Brain-computer interface (BCI) systems enable individuals to use a computer or assistive technologies such as a neuroprosthetic arm by translating their brain electrical activity into control commands. In this study, the ... -
Generic dynamic load modelling using cluster analysis
Barzegkar-Ntovom, Georgios A.; Ceylan, Oğuzhan; Papadopoulos, Theofilos A.; Yetkin, E. Fatih (IEEE, 2018)In this paper a new generic load modelling procedure is proposed based on the application of cluster analysis on load model parameters identified from measured dynamic responses. The performance of the proposed approach ... -
A Hybrid Approach With GAN and DP for Privacy Preservation of IIoT Data
Hindistan, Yavuz Selim; Yetkin, E. Fatih (IEEE-Inst Electrical Electronics Engineers Inc, 2023)There are emerging trends to use the Industrial Internet of Things (IIoT) in manufacturing and related industries. Machine Learning (ML) techniques are widely used to interpret the collected IoT data for improving the ... -
A New Preconditioner Design Based on Spectral Division for Power Flow Analysis
Dağ, Hasan; Yetkin, E. Fatih; Manguoglu, Murat (Praise Worthy Prize Srl, 2011)Solution of large sparse linear systems is the most lime consuming part in many power system simulations. Direct solvers based on LU factorization although robust are known to have limited satiability on parallel platforms. ... -
On the selection of ınterpolation points for rational Krylov Methods
Yetkin, E. Fatih; Dağ, Hasan (Springer-Verlag Berlin, 2012)We suggest a simple and an efficient way of selecting a suitable set of interpolation points for the well-known rational Krylov based model order reduction techniques. To do this some sampling points from the frequency ... -
Parallel Implementation Of Iterative Rational Krylov Methods For Model Order Reduction
Yetkin, E. Fatih; Dağ, Hasan (IEEE, 2010)Model order reduction (MOR) techniques are getting more important in large scale computational tasks like large scale electronic circuit simulations. In this paper we present some experimental work on multiprocessor systems ... -
Recycling Newton-Krylov algorithm for efficient solution of large scale power systems
Yetkin, E. Fatih; Ceylan, Oguzhan (Elsevier Sci Ltd, 2023)Power flow calculations are crucial for the study of power systems, as they can be used to calculate bus voltage magnitudes and phase angles, as well as active and reactive power flows on lines. In this paper, a new approach, ... -
A Scalable Unsupervised Feature Selection With Orthogonal Graph Representation for Hyperspectral Images
Taskin, Gulsen; Yetkin, E. Fatih; Camps-Valls, Gustau (IEEE-Inst Electrical Electronics Engineers Inc, 2023)Feature selection (FS) is essential in various fields of science and engineering, from remote sensing to computer vision. Reducing data dimensionality by removing redundant features and selecting the most informative ones ... -
Sensitivity of computational fluid dynamics simulations against soft errors
Yetkin, E. Fatih; Piskin, Senol (Springer Wien, 2021)Computational capabilities of the largest high performance computing systems have increased by more than 100 folds in the last 10 years and keep increasing substantially every year. This increase is made possible mostly ... -
Sparsity Preserving Computation for Spectral Projectors
Yetkin, E. Fatih; Dağ, Hasan (Amer Inst Physics, 2011)Several areas of applications such as model order reduction preconditioner design and eigenvalue problems for spectral projectors can be found in the literature. In this paper a fast and sparsity preserving approach for ...