An improved algebraic forecasting method with internal smoothing is proposed for short-term time series prediction. The concept of the H-rank is proposed for the detection of a base fragment of the sequence. Numerical experiments with artificially generated and real-world time series are used to illustrate the forecast method.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Please read the Copyright Notice in Journal Policy.