History tells that every human being
desire to foresee, comprehend and ultimately explore the
future. Multi-step ahead forecasting is a challenging
research area due to propagation of forecasting errors with
the increase of forecasting steps. Two interesting
architectures based on nearest neighbor method are
proposed. Importance of selection criteria in nearest
neighbor search plays an important role in multi-step ahead
forecasting. Effect of up-sampling of time series and
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