Time series prediction using DirRec strategy

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.

• Type: Conference
• Year: 2006
• Where: ESANN
• Authors: Antti Sorjamaa, Amaury Lendasse
• Keywords: ESANN 2006, ESANN 2007, Prediction, Prediction Strategy, Time Series