With the increasing importance of wind energy, a clean and inexhaustible source, in the global energy matrix and specially in Brazil, the demand for models able to offer quantitative decision support for this market also grows. This work focuses on modeling hourly data, which is particularly important in order to make good intraday decisions, such as to decide whether there is a need to use more expensive energy sources.