Computing predicted data according to weighted peak preservation and time distance biasing

摘要

A value corresponding to an adjustable control element is received. Predicted data is computed from seasonal data, where the computing is according to applying preservation of peaks in the seasonal data and applying time distance biasing in which more recent data points in the seasonal data are weighted higher than less recent data points. Relative weighting of the peak preservation and the time distance biasing is based on the received value corresponding to the adjustable control element.

主权项

1. A method comprising:
receiving seasonal data that exhibits a repeating pattern over time; receiving, by a system having a processor, a value corresponding to an adjustable control element; applying, in the seasonal data by the system, preservation of peaks and time distance biasing in which more recent data points in the seasonal data are weighted higher than less recent data points; calculating, by the system based on the received value corresponding to the adjustable control element, a first weight for the preservation of peaks and a second weight for the time distance biasing; combining, by the system, the first and second weights to produce a combined weight; and computing, by the system, predicted data using the combined weight.