Time series forecasting using CCA and Kohonen maps - application to electricity consumption
نویسندگان
چکیده
A general-purpose useful parameter in time series forecasting is the regressor, corresponding to the minimum number of variables necessary to forecast the future values of the time series. If the models used are non linear, the choice of this regressor becomes very difficult. We will show a quasiautomatic method using Curvilinear Component Analysis to build it. This method will be applied to electric consumption of Poland.
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تاریخ انتشار 2000