With the paradigm shift regarding power systems, that used to be regulated and started to be liberalized, the study and forecast of prices and electricity loads have become a new topic of interest to researchers. Due to the peculiarities of electricity, electricity markets have very specific rules that must be understood before starting their study. This paper presents a study of the Iberian Electricity Market, represented by the series of loads, in the framework of nonlinear deterministic chaos. The main goal was to verify that the series of loads has chaotic features, reconstructing its attractor and estimating some invariants of the system as the correlation dimension, the Kolmogorov-Sinai entropy and the Lyapunov exponents. The forecast for the next 24 hours can then be done using deterministic tools like the method of time delay and artificial neural networks. As a result of this research, we identified evidence that the series of the loads is governed by a chaotic dynamical system and its predictions were successfully achieved.

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nonlinear time series, Mibel, electricity demand, forecasting