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Advisor(s)
Abstract(s)
The deregulation of electricity markets has resulted
on a competitive sector. The impossibility to store energy in
large scale together with the constant balance between supply
and demand is at the origin of high volatility of market clearing
prices. The electricity market players use long-term contracts to
practice the hedge against the price risk. The success of those
contracts is directly related on the accuracy of long-term price
forecast. This paper presents a study of the factors that affects
long-term Spanish electricity price formation makes use of a
neural network model applied to long-term forecast to validate
that study. The use of correct input variables is essential for a
forecast accurate. It is presented a case study with real data and
the results are compared and discussed in detail.
Description
Keywords
Electricity Markets Long-term Price Forecast Artificial Neural Networks Electricity Price Formation Artificial Intelligence