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A Robust Parameter Estimation Method Based onLAV Estimator
Date
2015-07-09
Author
Özdemir, Volkan
Göl, Murat
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https://hdl.handle.net/11511/76960
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A Robust Parameter Estimation Method Based on LAV Estimator
Özdemir, Volkan; Göl, Murat (2015-07-09)
In a power system, it is known that parameters may carry small errors due to the weather conditions, such as temperature and humidity changes, as well as gross errors due to the miscommunication between the control center and circuit breakers and tap changers. Those incorrect parameters may cause biased state estimates, which may have serious results. Therefore, those parameter errors should be identified and corrected. Considering the increasing number of Phasor Measurement Units (PMUs), in this paper it i...
A Local parameter estimator based on robust LAV estimation
Özdemir, Volkan; Göl, Murat; Department of Electrical and Electronics Engineering (2015)
There are parameter errors in power system models due to the change of weather conditions, such as temperature and humidity changes, miscommunication between the control center and the transducers of circuit breakers and tap changers, etc. Because of the incorrect parameters, the state estimator may provide biased state estimates which may lead to many serious economic and operational results. In order to prevent that, one must identify and correct those parameter errors. This work proposes a local paramete...
A Fast shape detection approach by directional integrations
Okman, Osman Erman; Akar, Gözde; Department of Electrical and Electronics Engineering (2013)
Detection and identification of objects from aerial images are important problems for various types of application areas. For many of the man-made structures shape is a fundamental feature by which these objects are separated from the background and other structures. In this thesis, a novel geometric shape detection algorithm based on the spatial properties of structures is proposed. Since the objects are transformed into 1-D vectors by evaluating directional integrals and detections occur by the analysis o...
A cluster tree based model selection approach for logistic regression classifier
Tanju, Ozge; Kalaylıoğlu Akyıldız, Zeynep Işıl (Informa UK Limited, 2018-01-01)
Model selection methods are important to identify the best approximating model. To identify the best meaningful model, purpose of the model should be clearly pre-stated. The focus of this paper is model selection when the modelling purpose is classification. We propose a new model selection approach designed for logistic regression model selection where main modelling purpose is classification. The method is based on the distance between the two clustering trees. We also question and evaluate the performanc...
A parallel ant colony optimization algorithm based on crossover operation
Kalınlı, Adem; Sarıkoç, Fatih (Springer, 2018-11-01)
In this work, we introduce a new parallel ant colony optimization algorithm based on an ant metaphor and the crossover operator from genetic algorithms.The performance of the proposed model is evaluated usingwell-known numerical test problems and then it is applied to train recurrent neural networks to identify linear and nonlinear dynamic plants. The simulation results are compared with results using other algorithms.
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V. Özdemir and M. Göl, “A Robust Parameter Estimation Method Based onLAV Estimator,” 2015, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/76960.