Abstract:
Artificial Neural Network as a universal function approximators can be used
for mapping any nonlinear function. Used in different fields of
application (congnitive science, engineering, biology, finance..), ANN have become
popular in finance for their power in pattern recognition, classification
and forecasting. This paper specifically examines the used of ANN in the energy
market in order to build a forecast price on the energy commodities.
A brief study on the feature of the energy market, in particular crude oil and
natural gas prices, will be followed by an implementation of an ANN system
for the forecast. Finally a comparison between a real and estimated price
will be done to see if the ANN could be considered a good forecasting tool also in
the energy market.