Identification of the Electrical Energy Stock Exchange and creating knowledge maps using MATLAB environment with SIT and NNT Toolboxes

Author

Tchorzewski, Jerzy R.

fYear

2009

fDate

27-29 May 2009

Firstpage

1

Lastpage

6

Abstract

The paper contains results of research concerning the search for models of Polish electrical energy stock exchange development. The research was conducted using MATLAB environment, and such toolboxes as a system identification toolbox and neural network toolbox. Static models of Polish electrical energy stock exchange development as well as a dynamic model allowing to obtain information concerning static models of development for predicting further states of development were presented. Moreover, knowledge maps containing information on the development of GEE (electrical energy stock exchange), which were obtained by means of designing proper artificial neural networks, were also presented.

Keywords

mathematics computing; power engineering computing; power markets; power system identification; stock markets; MATLAB environment; Polish electrical energy stock exchange; artificial neural network; knowledge maps; neural network toolbox; system identification toolbox; Artificial neural networks; MATLAB; Marketing and sales; Mathematical model; Neurons; Power system modeling; Power system simulation; Predictive models; Stock markets; System identification; Artificial intelligence; Neural Networks; Power system identification; Self-organizing feature maps;

fLanguage

English

Publisher

ieee

Conference_Titel

Energy Market, 2009. EEM 2009. 6th International Conference on the European

Conference_Location

Leuven

Print_ISBN

978-1-4244-4455-7

Type

conf

DOI

10.1109/EEM.2009.5207215

Filename

5207215