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NEURAL MODELING OF THE ELECTRIC POWER STOCK MARKET IN USAGE OF MATLAB AND SIMULINK TOOLS FOR THE DAY AHEAD MARKET DATA

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Ruciński D., Tchórzewski J.
Information Systems in Management
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2016
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vol. 5
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issue 2
215-226
EN
The work contains selected results of the modelling of neural Electric Power Ex-change (EPE) in Poland. For modelling EPE system, artificial neural network (ANN) was constructed. ANN was learned and tested using of the next day market data. Generated neural model was used for simulation tests and susceptibility tests. Suitable model was implemented in Simulink. As a result of simulation tests and susceptibility testing a lot of interesting research results were obtained.
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