Article ID Journal Published Year Pages File Type
1890004 Chaos, Solitons & Fractals 2009 10 Pages PDF
Abstract

Price forecasting in the current deregulated power markets is an important requirement for deriving proper bidding strategy and profit maximization of producers. On the other hand, the energy price in the power market experiences lots of fluctuations which may affect the accuracy of the price forecasting seriously. Seeking for predictability, in this paper, the characteristics of these fluctuations are investigated through time series analysis methods. The results of analyses are representative of the existence of a deterministic chaos in the system with a mimic predictability. Besides, it is observed that because of existing the seasonality and non-stationarity in the system dynamics, a fixed model cannot perform properly even in case of normalized input data, but the developed models should be updated regularly.

Related Topics
Physical Sciences and Engineering Physics and Astronomy Statistical and Nonlinear Physics
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