Abstract

Different method sets for energy cost, based on neural networks and composition networks, were used for several kinds of time series models and methods based on intelligence system. In this paper, performance and result of several kinds of time series models in energy in synchronic energy markets, were first studied; then in continuance, was used for forecasting and in Spain and California during one week.

Key words: Energy cost, cost forecasting, time series, neural network.