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Forecasting electricity consumption using nonlinear projection and self-organizing maps
Neurocomputing, no. 1 (2002): 299-311
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Abstract
A general-purpose useful parameter in time series forecasting is the regressor size, corresponding to the minimum number of variables necessary to forecast the future values of the time series. If the models are nonlinear, the choice of this regressor becomes very difficult. We present a quasi-automatic method using a nonlinear projection...More
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