kieker.tools.tslib.forecast.croston
Class CrostonForecaster

java.lang.Object
  kieker.tools.tslib.forecast.AbstractForecaster<Double>
      kieker.tools.tslib.forecast.AbstractRForecaster
          kieker.tools.tslib.forecast.croston.CrostonForecaster

All Implemented Interfaces:

IForecaster<Double>

public class CrostonForecaster
extends AbstractRForecaster

Intermittent Demand Forecasting. This is one of the forecasters used in the research paper on Self-adaptive workload classification and forecasting for proactive resource provisioning (http://dx.doi.org/10.1002/cpe.3224), authored by Herbst et al.

Since:

1.10

Author:

Nikolas Herbst Decomposition of the time series that contains zero values into two separate sequences: a non-zero valued time series and a second that contains the time intervals of zero values. Independent forecast using SES and combination of the two independent forecasts. No confidence intervals are computed due to no consistent underlying stochastic model.

Constructor Summary

CrostonForecaster(ITimeSeries<Double> historyTimeseries)

CrostonForecaster(ITimeSeries<Double> historyTimeseries, int confidenceLevel)

Method Summary

Methods inherited from class kieker.tools.tslib.forecast.AbstractRForecaster

forecast, removeNullValues

Methods inherited from class kieker.tools.tslib.forecast.AbstractForecaster

getConfidenceLevel, getTsOriginal

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

CrostonForecaster

public CrostonForecaster(ITimeSeries<Double> historyTimeseries)

Parameters:

historyTimeseries - timeseries used by forecating algo

CrostonForecaster

public CrostonForecaster(ITimeSeries<Double> historyTimeseries,
                         int confidenceLevel)

Parameters:

historyTimeseries - timeseries used by forecating algo

confidenceLevel - value of confidence