A modified Kohonen neural network coupled to a Kalman filter for short term load forecasting

Özsökmen, Hakkı Volkan


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Granström, Karl; Lundquist, Christian; Orguner, Umut (null; 2010-07-29)
In extended target tracking, targets potentially produce more than one measurement per time step. Multiple extended targets are therefore usually hard to track, due to the resulting complex data association. The main contribution of this paper is the implementation of a Probability Hypothesis Density ( phd) filter for tracking of multiple extended targets. A general modification of the phd filter to handle extended targets has been presented recently by Mahler, and the novelty in this work lies in the reali...
A Hybrid building extraction algorithm based on multilevel segmentation and boundary simplification
Yarkınoğlu Gücük, Oya; Düzgün, H. Şebnem; Department of Geodetic and Geographical Information Technologies (2017)
Building footprints have an important role in urban planning, infrastructure development, climate studies and disaster management. The precise knowledge of buildings serves as a primary source for interpreting complex urban characteristics and also helps decision makers with more realistic urban management. In this thesis, the building boundary extraction including a hybrid approach is proposed. Firstly, normalized Digital Surface Model (nDSM) of the study area is generated from aerial Light Detection and R...
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 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 Broadband Electromagnetic Solver Based on Multiscale MLFMA and Hybrid Integral Equations
Karaosmanoglu, Bariscan; Tonga, Muhammed; Ergül, Özgür Salih (2018-11-02)
We present a fully broadband solver for fast and accurate solutions of multiscale electromagnetic problems involving both coarse and fine details. The implementation is based on a multiscale multilevel fast multipole algorithm that employs low-frequency and high-frequency expansions at suitable levels of incomplete tree structures. In addition, hybrid integral equations are used to properly formulate scattering and radiation problems in the frequency domain. Numerical results demonstrate the superior accura...
Citation Formats
H. V. Özsökmen, “A modified Kohonen neural network coupled to a Kalman filter for short term load forecasting,” Middle East Technical University, 1994.