Time Series Prediction using DirRec Strategy
Antti Sorjamaa, Amaury Lendasse · 2006
Abstract. This paper demonstrates how the selection of Prediction Strategy is important in the Long-Term Prediction of Time Series. Two strategies are already used in the prediction purposes called Recursive and Direct. This paper presents a third one, DirRec, which combines the advantages of the two already used ones. A simple k-NN approximation method is used and all three strategies are applied to two benchmarks: Santa Fe and Poland Electricity Load time series. 1