Maja Atanasijevic-Kunc

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In this paper an approach to a study of multivariable system control is presented, where special attention is devoted to the implemented remote experiment. It has been realized through an e-learning environment, based on the ECHO , Matlab, PHP software and a MySQL database. The e-management system ECHO has been developed at the Faculty of Electrical(More)
Rising demand for electrical power and environmental awareness has triggered new types of electrical power producers like solar and wind power plants. They cause a problem in electrical power system because of their stochastic nature of energy production. Smart grid technology offers a solution to these problems. In this paper a smart grid solution made for(More)
The paper deals with a systematic approach to the control system design with a final goal to efficiently control some living conditions in a test chamber. The mathematical model was implemented in MATLAB Simulink environment. The structure is modular, the robust numerical algorithms give accurate results and fast simulation runs. The developed simulator(More)
In this paper a new scheduling algorithm is presented that enables fast calculation times with a combination of neural network and local optimization. Properly learned neural network is used to calculate schedule results that can be used as initial conditions for local optimization method. If scheduling results from neural network are located relatively(More)
In the paper E-CHO e-learning environment and its main characteristics are presented and analysed. This program was developed at the Faculty of Electrical Engineering, University of Ljubljana, Slovenia, where cooperation between different laboratories enables integration of characteristics important for education purposes and specific for different research(More)
The paper presents a new energy scheduling approach enabling fast calculation times with a combination of the neuron network and local optimization. A learned neuron network is used to calculate the energy scheduling results to be used as initial conditions for a local energy scheduling optimization method. When the scheduling results from a neuron network(More)